Yuan Luo

191 papers A* 8B 1Misc 20Journal 128Unranked 33
YearRankTypeTitle / Venue / Authors
2026 J jnl
Ethical perspectives on deployment of large language model agents in biomedicine: a survey.
AI Ethics
Nafiseh Ghaffar Nia, Amin Amiri, Yuan Luo, Adrienne S. Kline
2026 J jnl
Multi-site analysis of COVID-19 and new-onset diabetes reveals need for improved sensitivity of EHR-based COVID-19 phenotypes - a DiCAYA Network analysis.
J. Am. Medical Informatics Assoc.
Lorna E. Thorpe, Jasmin Divers, Annemarie Hirsch, Brian S. Schwartz, Bo Cai, Jihad S. Obeid, Angela Liese, Tessa Crume, Anna Bellatorre, Jiang Bian, Yi Guo, Sarah Bost, Tianchen Lyu, Matthew T. Mefford, Matt Zhou, Eva Lustigova, Levon H. Utidjian, Mitchell Maltenfort, Patrick Hanley, Meda E. Pavkov, Marc B. Rosenman, Andrea R. Titus, Charles Bailey, Christopher B. Forrest, Levon Utidjian, Mitch Maltenfort, Amy Shah, Eneida A. Mendonça, G. Todd Alonso, Sara J. Deakyne Davies, H. Timothy Bunnell, Anne Kazak, Melody Kitzmiller, Manmohan Kamboj, Dimitri A. Christakis, Daksha Ranade, Annemarie G. Hirsch, Joseph J. Dewalle, H. Lester Kirchner, Meredith Lewis, Dione G. Mercer, Cara M. Nordberg, Amy Poissant, Brian E. Dixon, Shaun J. Grannis, Katie S. Allen, Anna Roberts, Nimish Valvi, Jeff Warvel, Ashley Wiensch, Tamara S. Hannon, Kristi Reynolds, John Chang, Don McCarthy, Rong Wei, Hui Zhou, Marc Rosenman, Lu Zhang, George Lales, Anthony Wong, Allison Zelinski, Yuan Luo, Mark Weiner, Pedro Rivera, Thomas Carton, Elizabeth Nauman, Harold P. Lehmann, Meredith Akerman, Rebecca Anthopolos, Stefanie Bendik, Sarah Conderino, Andrew Fair, Jessica Guillaume, Shahidul Islam, Alan Jacobson, David C. Lee, Chinyere Okpara, Anand Rajan, Andrea Titus, Dana Dabelea, Theresa Anderson, Rebecca Conway, Toan Ong, Jack Pattee, Shawna Burgett, Hui Shao, Elizabeth A. Shenkman, Sarah J. Bost, William T. Donahoo, William R. Hogan, Piaopiao Li, Mattia Prosperi, Yonghui Wu, Angela D. Liese, Lisa Knight, Caroline Rudisill, Jessica Stucker, Deborah Bowlby, Elaine Apperson, Alex Ewing, Giuseppina Imperatore, Deborah Rolka, Hui Xie, Ibrahim Zaganjor
2025 — conf
AMANDA: Agentic Medical Knowledge Augmentation for Data-Efficient Medical Visual Question Answering.
EMNLP (Findings)
Ziqing Wang, Chengsheng Mao, Xiaole Wen, Yuan Luo, Kaize Ding
2025 J jnl
AMANDA: Agentic Medical Knowledge Augmentation for Data-Efficient Medical Visual Question Answering.
CoRR
Ziqing Wang, Chengsheng Mao, Xiaole Wen, Yuan Luo, Kaize Ding
2025 — conf
Conditional Hierarchical Bayesian Tucker Decomposition for Genetic Data Analysis.
CAI
Adam Sandler, Diego Klabjan, Yuan Luo
2025 — conf
Constrained Tensor Factorization for Cancer Phenotyping and Mortality Prediction.
MedInfo
Francisco Y. Cai, Chengsheng Mao, Yuan Luo
2025 A* conf
Deep Reinforcement Learning for Efficient and Fair Allocation of Healthcare Resources.
IJCAI
Yikuan Li, Chengsheng Mao, Kaixuan Huang, Hanyin Wang, Zheng Yu, Mengdi Wang, Yuan Luo
2025 Misc conf
Exploring Large Language Models for Knowledge Graph Completion.
ICASSP
Liang Yao, Jiazhen Peng, Chengsheng Mao, Yuan Luo
2025 J jnl
LLM enabled classification of patient self-reported symptoms and needs in health systems across the USA.
npj Digit. Medicine
Bilal A. Naved, Shravan Ravishankar, Georges E. Colbert, Andrew Johnston, Quintan M. Slott, Yuan Luo
2025 J jnl
Large language models accurately identify immunosuppression in intensive care unit patients.
J. Am. Medical Informatics Assoc.
Vijeeth Guggilla, Mengjia Kang, Melissa J. Bak, Steven D. Tran, Anna Pawlowski, Prasanth Nannapaneni, Luke V. Rasmussen, Daniel Schneider, Helen K. Donnelly, Ankit Agrawal, David M. Liebovitz, Alexander V. Misharin, G. R. Scott Budinger, Richard G. Wunderink, Theresa L. Walunas, Catherine A. Gao, Alan R. Hauser, Alec Peltekian, Alexis Rose Wolfe, Alison L. Szabo, Alok N. Choudhary, Amy Ludwig, Anahid Amani Moghadam, Anjana V. Yeldandi, Ankit Bharat, Anna E. Pawlowski, Anthony M. Joudi, Arjun Prakash Tambe, Ashley J. Smith-Nunez, Benjamin D. Singer, Benjamin J. Ulrich, Betty Tran, Cara J. Gottardi, Chao Qi, Chiagozie O. Pickens, Clara J. Schroedl, Daniel Meza, Dulce Sarai Garcia, Egon A. Ozer, Elen Gusman, Elisheva D. Shanes, Emily Mower Provost, Emily M. Olson, Erica Marie Hartmann, Erin A. Korth, Estefani Diaz, Estefany R. Guzman, Francisco J. Martinez, Gabrielle Matias, Hiam Abdala-Valencia, Jack T. Sumner, Jacob I Sznajder, Jacqueline M. Kruser, Jakub Glowala, James M. Walter, Jamie H. Rowell, Jason M. Arnold, John Coleman, Jon W. Lomasney, Joseph Isaac Bailey, Judd Hultquist, Justin A. Fiala, Justin Starren, Karen M. Ridge, Karolina Senkow, Kathryn A. Helmin, Khalilah L. Gates, Lacy Simmons, Lesley Pinzon, Lindsey D. Gradone, Lisa F. Wolfe, Lucy Luo, Luisa Morales-Nebreda, Manu Jain, Marc Sala, Maxwell Schleck, Melissa H. Ross, Melissa Querrey, Michael J. Cuttica, Michelle Hinsch Prickett, Nandita R. Nadig, Nathaniel Rhodes, Navdeep S. Chandel, Nikolay S. Markov, Peter H. S. Sporn, Qianli Liu, Rachel B. Kadar, Rachel L. Medernach, Ramon Lorenzo-Redondo, Ravi Kalhan, Rebecca K. Clepp, Richard I. Morimoto, Rogan A. Grant, Ruben J. Mylvaganam, Samuel Fenske, Scott A. Laurenzo, Sean Smith, Seung Hye Han, Sophia Nozick, Srinivas Panchamukhi, Stephanie C. Eisenbarth, Suchitra Swaminathan, Susan R. Russell, Taylor A. Poor, Thaddeus Cybulski, Theresa A. Lombardo, Thomas Bolig, Thomas Stoeger, Tien Doan, Timothy Rowe, Wan-Ting Liao, Yuan Luo, Yuliana Sokolenko, Zhan Yu, Ziyan Lu
2025 J jnl
Leveraging large language models for academic conference organization.
npj Digit. Medicine
Yuan Luo, Yikuan Li, Omolola Ogunyemi, Eileen Koski, Blanca E. Himes
2025 J jnl
Transformer patient embedding using electronic health records enables patient stratification and progression analysis.
npj Digit. Medicine
Su Xian, Monika E. Grabowska, Iftikhar J. Kullo, Yuan Luo, Jordan W. Smoller, Theresa L. Walunas, Wei-Qi Wei, Gail P. Jarvik, Sean D. Mooney, David R. Crosslin
2024 J jnl
Closing the gap: addressing telehealth disparities across specialties in the sustained pandemic era.
npj Digit. Medicine
Saki Amagai, Edward Vonesh, James Adams, Yuan Luo
2024 J jnl
Contrasting rule and machine learning based digital self triage systems in the USA.
npj Digit. Medicine
Bilal A. Naved, Yuan Luo
2024 J jnl
Deep learning for identifying personal and family history of suicidal thoughts and behaviors from EHRs.
npj Digit. Medicine
Prakash Adekkanattu, Al'ona Furmanchuk, Yonghui Wu, Aman Pathak, Braja Gopal Patra, Sarah Bost, Destinee Morrow, Grace Hsin-Min Wang, Yuyang Yang, Noah James Forrest, Yuan Luo, Theresa L. Walunas, Wei-Hsuan Lo-Ciganic, Walid Gelad, Jiang Bian, Yuhua Bao, Mark G. Weiner, David W. Oslin, Jyotishman Pathak
2024 J jnl
Environment Scan of Generative AI Infrastructure for Clinical and Translational Science.
CoRR
Betina Idnay, Zihan Xu, William G. Adams, Mohammad Adibuzzaman, Nicholas R. Anderson, Neil Bahroos, Douglas S. Bell, Cody Bumgardner, Thomas R. Campion Jr., Victor M. Castro, James J. Cimino, I. Glenn Cohen, David A. Dorr, Peter L. Elkin, Jungwei W. Fan, Todd Ferris, David J. Foran, David A. Hanauer, Mike Hogarth, Kun Huang, Jayashree Kalpathy-Cramer, Manoj Kandpal, Niranjan S. Karnik, Avnish Katoch, Albert M. Lai, Christophe G. Lambert, Lang Li, Christopher J. Lindsell, Jinze Liu, Zhiyong Lu, Yuan Luo, Peter McGarvey, Eneida A. Mendonça, Parsa Mirhaji, Shawn N. Murphy, John D. Osborne, Ioannis Ch. Paschalidis, Paul A. Harris, Fred W. Prior, Nicholas J. Shaheen, Nawar Shara, Ida Sim, Umberto Tachinardi, Lemuel R. Waitman, Rosalind J. Wright, Adrian H. Zai, Kai Zheng, Sandra Soo-Jin Lee, Bradley A. Malin, Karthik Natarajan, W. Nicholson Price, Rui Zhang, Yiye Zhang, Hua Xu, Jiang Bian, Chunhua Weng, Yifan Peng
2024 J jnl
Fairness and inclusion methods for biomedical informatics research.
J. Biomed. Informatics
Shyam Visweswaran, Yuan Luo, Mor Peleg
2024 J jnl
Informing immunotherapy with multi-omics driven machine learning.
npj Digit. Medicine
Yawei Li, Xin Wu, Deyu Fang, Yuan Luo
2024 J jnl
Longitudinal clustering of Life's Essential 8 health metrics: application of a novel unsupervised learning method in the CARDIA study.
J. Am. Medical Informatics Assoc.
Peter Graffy, Lindsay P. Zimmerman, Yuan Luo, Jingzhi Yu, Yuni Choi, Rachel Zmora, Donald Lloyd-Jones, Norrina B. Allen
2024 A* conf
Towards Expressive Graph Representations for Graph Neural Networks.
ICDM
Chengsheng Mao, Liang Yao, Yuan Luo
2024 J jnl
Using machine learning to develop smart reflex testing protocols.
J. Am. Medical Informatics Assoc.
Matthew McDermott, Anand Dighe, Peter Szolovits, Yuan Luo, Jason Baron
2023 J jnl
A Comparative Study of Pretrained Language Models for Long Clinical Text.
CoRR
Yikuan Li, Ramsey M. Wehbe, Faraz S. Ahmad, Hanyin Wang, Yuan Luo
2023 J jnl
A comparative study of pretrained language models for long clinical text.
J. Am. Medical Informatics Assoc.
Yikuan Li, Ramsey M. Wehbe, Faraz S. Ahmad, Hanyin Wang, Yuan Luo
2023 J jnl
AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease.
J. Biomed. Informatics
Chengsheng Mao, Jie Xu, Luke V. Rasmussen, Yikuan Li, Prakash Adekkanattu, Jennifer A. Pacheco, Borna Bonakdarpour, Robert Vassar, Li Shen, Guoqian Jiang, Fei Wang, Jyotishman Pathak, Yuan Luo
2023 J jnl
Characterizing variability of electronic health record-driven phenotype definitions.
J. Am. Medical Informatics Assoc.
Pascal S. Brandt, Abel N. Kho, Yuan Luo, Jennifer A. Pacheco, Theresa L. Walunas, Hakon Hakonarson, George Hripcsak, Cong Liu, Ning Shang, Chunhua Weng, Nephi Walton, David S. Carrell, Paul K. Crane, Eric B. Larson, Christopher G. Chute, Iftikhar J. Kullo, Robert J. Carroll, Joshua C. Denny, Andrea H. Ramirez, Wei-Qi Wei, Jyotishman Pathak, Laura K. Wiley, Rachel L. Richesson, Justin B. Starren, Luke V. Rasmussen
2023 J jnl
Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers.
npj Digit. Medicine
Catherine A. Gao, Frederick M. Howard, Nikolay S. Markov, Emma C. Dyer, Siddhi Ramesh, Yuan Luo, Alexander T. Pearson
2023 A* conf
Deep Reinforcement Learning for Cost-Effective Medical Diagnosis.
ICLR
Zheng Yu, Yikuan Li, Joseph C. Kim, Kaixuan Huang, Yuan Luo, Mengdi Wang
2023 J jnl
Deep Reinforcement Learning for Cost-Effective Medical Diagnosis.
CoRR
Zheng Yu, Yikuan Li, Joseph C. Kim, Kaixuan Huang, Yuan Luo, Mengdi Wang
2023 J jnl
Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources.
CoRR
Yikuan Li, Chengsheng Mao, Kaixuan Huang, Hanyin Wang, Zheng Yu, Mengdi Wang, Yuan Luo
2023 J jnl
Enhancing Health Data Interoperability with Large Language Models: A FHIR Study.
CoRR
Yikuan Li, Hanyin Wang, Halid Ziya Yerebakan, Yoshihisa Shinagawa, Yuan Luo
2023 J jnl
Exploring Large Language Models for Knowledge Graph Completion.
CoRR
Liang Yao, Jiazhen Peng, Chengsheng Mao, Yuan Luo
2023 J jnl
IRTCI: Item Response Theory for Categorical Imputation.
CoRR
Adrienne S. Kline, Yuan Luo
2023 J jnl
Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?
J. Biomed. Informatics
Amelia L. M. Tan, Emily J. Getzen, Meghan R. Hutch, Zachary H. Strasser, Alba Gutiérrez-Sacristán, Trang T. Le, Arianna Dagliati, Michele Morris, David A. Hanauer, Bertrand Moal, Clara-Lea Bonzel, William Yuan, Lorenzo Chiudinelli, Priyam Das, Harrison G. Zhang, Bruce J. Aronow, Paul Avillach, Gabriel A. Brat, Tianxi Cai, Chuan Hong, William G. La Cava, He Hooi Will Loh, Yuan Luo, Shawn N. Murphy, Kee Yuan Hgiam, Gilbert S. Omenn, Lav P. Patel, Malarkodi J. Samayamuthu, Emily R. Shriver, Zahra Shakeri Hossein Abad, Byorn W. L. Tan, Shyam Visweswaran, Xuan Wang, Griffin M. Weber, Zongqi Xia, Bertrand Verdy, Qi Long, Danielle L. Mowery, John H. Holmes
2023 J jnl
Medical Image Deidentification, Cleaning and Compression Using Pylogik.
CoRR
Adrienne S. Kline, Vinesh Appadurai, Yuan Luo, Sanjiv J. Shah
2023 J jnl
Open-set recognition of breast cancer treatments.
Artif. Intell. Medicine
Alexander Cao, Diego Klabjan, Yuan Luo
2023 J jnl
Patterns of diverse and changing sentiments towards COVID-19 vaccines: a sentiment analysis study integrating 11 million tweets and surveillance data across over 180 countries.
J. Am. Medical Informatics Assoc.
Hanyin Wang, Yikuan Li, Meghan R. Hutch, Adrienne S. Kline, Sebastian Otero, Leena B. Mithal, Emily S. Miller, Andrew Naidech, Yuan Luo
2023 — conf
Pediatric Sepsis Phenotyping Using Vital Sign Trajectories.
BIBM
Yanyi Jenny Ding, Zhidi Luo, Mindy Szeto, Yuan Luo, L. Nelson Sanchez-Pinto
2023 J jnl
Special issue on fairness and inclusion in biomedical informatics research: technical and social perspectives.
J. Biomed. Informatics
Shyam Visweswaran, Yuan Luo, Mor Peleg
2023 J jnl
Transportability of bacterial infection prediction models for critically ill patients.
J. Am. Medical Informatics Assoc.
Garrett Eickelberg, Lazaro Nelson Sanchez-Pinto, Adrienne S. Kline, Yuan Luo
2023 J jnl
Using Machine Learning to Develop Smart Reflex Testing Protocols.
CoRR
Matthew McDermott, Anand Dighe, Peter Szolovits, Yuan Luo, Jason Baron
2022 J jnl
AD-BERT: Using Pre-trained contextualized embeddings to Predict the Progression from Mild Cognitive Impairment to Alzheimer's Disease.
CoRR
Chengsheng Mao, Jie Xu, Luke V. Rasmussen, Yikuan Li, Prakash Adekkanattu, Jennifer A. Pacheco, Borna Bonakdarpour, Robert Vassar, Guoqian Jiang, Fei Wang, Jyotishman Pathak, Yuan Luo
2022 J jnl
AKI-BERT: a Pre-trained Clinical Language Model for Early Prediction of Acute Kidney Injury.
CoRR
Chengsheng Mao, Liang Yao, Yuan Luo
2022 B conf
Aggregation Delayed Federated Learning.
IEEE Big Data
Ye Xue, Diego Klabjan, Yuan Luo
2022 J jnl
Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences.
CoRR
Yikuan Li, Ramsey M. Wehbe, Faraz S. Ahmad, Hanyin Wang, Yuan Luo
2022 J jnl
Comparison between machine learning methods for mortality prediction for sepsis patients with different social determinants.
BMC Medical Informatics Decis. Mak.
Hanyin Wang, Yikuan Li, Andrew Naidech, Yuan Luo
2022 J jnl
Deep Learning Reveals Patterns of Diverse and Changing Sentiments Towards COVID-19 Vaccines Based on 11 Million Tweets.
CoRR
Hanyin Wang, Meghan R. Hutch, Yikuan Li, Adrienne S. Kline, Sebastian Otero, Leena B. Mithal, Emily S. Miller, Andrew Naidech, Yuan Luo
2022 J jnl
Design and validation of a FHIR-based EHR-driven phenotyping toolbox.
J. Am. Medical Informatics Assoc.
Pascal S. Brandt, Jennifer A. Pacheco, Prakash Adekkanattu, Evan Sholle, Sajjad Abedian, Daniel J. Stone, David Knaack, Jie Xu, Zhenxing Xu, Yifan Peng, Natalie C. Benda, Fei Wang, Yuan Luo, Guoqian Jiang, Jyotishman Pathak, Luke V. Rasmussen
2022 J jnl
Distribution Preserving Graph Representation Learning.
CoRR
Chengsheng Mao, Yuan Luo
2022 J jnl
Evaluating the state of the art in missing data imputation for clinical data.
Briefings Bioinform.
Yuan Luo
2022 Misc conf
Evaluation of ICU Severity Scores and Mortality Prediction by Race and Ethnicity: A Machine Learning Approach Using MIMIC-IV.
AMIA
Catherine A. Gao, Plamena Powla, Meghan Hutch, Oluwatosin Akinsola, Yuan Luo
2022 J jnl
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification With Chest X-Rays.
IEEE Trans. Medical Imaging
Chengsheng Mao, Liang Yao, Yuan Luo
2022 A* conf
Improving Graph Representation Learning with Distribution Preserving.
ICDM
Chengsheng Mao, Yuan Luo
2022 J jnl
International electronic health record-derived post-acute sequelae profiles of COVID-19 patients.
npj Digit. Medicine
Harrison G. Zhang, Arianna Dagliati, Zahra Shakeri Hossein Abad, Xin Xiong, Clara-Lea Bonzel, Zongqi Xia, Bryce W. Q. Tan, Paul Avillach, Gabriel A. Brat, Chuan Hong, Michele Morris, Shyam Visweswaran, Lav P. Patel, Alba Gutiérrez-Sacristán, David A. Hanauer, John H. Holmes, Malarkodi Jebathilagam Samayamuthu, Florence T. Bourgeois, Sehi L'Yi, Sarah E. Maidlow, Bertrand Moal, Shawn N. Murphy, Zachary H. Strasser, Antoine Neuraz, Kee Yuan Ngiam, Ne-Hooi Will Loh, Gilbert S. Omenn, Andrea Prunotto, Lauren A. Dalvin, Jeffrey G. Klann, Petra Schubert, Fernando J. Sanz Vidorreta, Vincent Benoit, Guillaume Verdy, Ramakanth Kavuluru, Hossein Estiri, Yuan Luo, Alberto Malovini, Valentina Tibollo, Riccardo Bellazzi, Kelly Cho, Yuk-Lam Ho, Amelia L. M. Tan, Byorn W. L. Tan, Nils Gehlenborg, Sara Lozano-Zahonero, Vianney Jouhet, Luca Chiovato, Bruce J. Aronow, Emma M. S. Toh, Wei Gen Scott Wong, Sara Pizzimenti, Kavishwar B. Wagholikar, Mauro Bucalo, Tianxi Cai, Andrew M. South, Isaac S. Kohane, Griffin M. Weber
2022 J jnl
Machine Learning Applications in Lung Cancer Diagnosis, Treatment and Prognosis.
CoRR
Yawei Li, Xin Wu, Ping Yang, Guoqian Jiang, Yuan Luo
2022 J jnl
Machine Learning for Lung Cancer Diagnosis, Treatment, and Prognosis.
Genom. Proteom. Bioinform.
Yawei Li, Xin Wu, Ping Yang, Guoqian Jiang, Yuan Luo
2022 J jnl
MedGCN: Medication recommendation and lab test imputation via graph convolutional networks.
J. Biomed. Informatics
Chengsheng Mao, Liang Yao, Yuan Luo
2022 J jnl
Multimodal Machine Learning in Precision Health.
CoRR
Adrienne S. Kline, Hanyin Wang, Yikuan Li, Saya R. Dennis, Meghan Hutch, Zhenxing Xu, Fei Wang, Feixiong Cheng, Yuan Luo
2022 J jnl
Multimodal machine learning in precision health: A scoping review.
npj Digit. Medicine
Adrienne S. Kline, Hanyin Wang, Yikuan Li, Saya R. Dennis, Meghan Hutch, Zhenxing Xu, Fei Wang, Feixiong Cheng, Yuan Luo
2022 J jnl
Natural language processing to identify lupus nephritis phenotype in electronic health records.
BMC Medical Informatics Decis. Mak.
Yu Deng, Jennifer A. Pacheco, Anika S. Ghosh, Anh H. Chung, Chengsheng Mao, Joshua C. Smith, Juan Zhao, Wei-Qi Wei, April Barnado, Chad Dorn, Chunhua Weng, Cong Liu, Adam Cordon, Jingzhi Yu, Yacob Tedla, Abel Kho, Rosalind Ramsey-Goldman, Theresa Walunas, Yuan Luo
2022 J jnl
Open-Set Recognition of Breast Cancer Treatments.
CoRR
Alexander Cao, Diego Klabjan, Yuan Luo
2022 — conf
PsmPy: A Package for Retrospective Cohort Matching in Python.
EMBC
Adrienne S. Kline, Yuan Luo
2022 J jnl
SurvMaximin: Robust federated approach to transporting survival risk prediction models.
J. Biomed. Informatics
Xuan Wang, Harrison G. Zhang, Xin Xiong, Chuan Hong, Griffin M. Weber, Gabriel A. Brat, Clara-Lea Bonzel, Yuan Luo, Rui Duan, Nathan P. Palmer, Meghan R. Hutch, Alba Gutiérrez-Sacristán, Riccardo Bellazzi, Luca Chiovato, Kelly Cho, Arianna Dagliati, Hossein Estiri, Noelia García-Barrio, Romain Griffier, David A. Hanauer, Yuk-Lam Ho, John H. Holmes, Mark S. Keller, Jeffrey G. Klann, Sehi L'Yi, Sara Lozano-Zahonero, Sarah E. Maidlow, Adeline Makoudjou, Alberto Malovini, Bertrand Moal, Jason H. Moore, Michele Morris, Danielle L. Mowery, Shawn N. Murphy, Antoine Neuraz, Kee Yuan Ngiam, Gilbert S. Omenn, Lav P. Patel, Miguel Pedrera-Jiménez, Andrea Prunotto, Malarkodi J. Samayamuthu, Fernando J. Sanz Vidorreta, Emily Schriver, Petra Schubert, Pablo Serrano-Balazote, Andrew M. South, Amelia L. M. Tan, Byorn W. L. Tan, Valentina Tibollo, Patric Tippmann, Shyam Visweswaran, Zongqi Xia, William Yuan, Daniela Zöller, Isaac S. Kohane, Paul Avillach, Zijian Guo, Tianxi Cai
2022 J jnl
Under-specification as the source of ambiguity and vagueness in narrative phenotype algorithm definitions.
BMC Medical Informatics Decis. Mak.
Jingzhi Yu, Jennifer A. Pacheco, Anika S. Ghosh, Yuan Luo, Chunhua Weng, Ning Shang, Barbara Benoit, David S. Carrell, Robert J. Carroll, Ozan Dikilitas, Robert R. Freimuth, Vivian S. Gainer, Hakon Hakonarson, George Hripcsak, Iftikhar J. Kullo, Frank D. Mentch, Shawn N. Murphy, Peggy L. Peissig, Andrea H. Ramirez, Nephi Walton, Wei-Qi Wei, Luke V. Rasmussen
2021 Misc conf
A Deep Learning Framework Using a Pre-trained BERT Model to Predict the Risk of Progression from Mild Cognitive Impairment to Alzheimer's Disease.
AMIA
Chengsheng Mao, Jie Xu, Luke V. Rasmussen, Jennifer A. Pacheco, Guoqian Jiang, Fei Wang, Richard Isaacson, Jyotishman Pathak, Yuan Luo
2021 J jnl
A deep-learning-based unsupervised model on esophageal manometry using variational autoencoder.
Artif. Intell. Medicine
Wenjun Kou, Dustin A. Carlson, Alexandra J. Baumann, Erica Donnan, Yuan Luo, John E. Pandolfino, Mozziyar Etemadi
2021 Misc conf
Addressing Bias in the Application of Machine Learning on Real-World Data.
AMIA
Hossein Estiri, Yuan Luo, Hongfang Liu, Suzanne Tamang, Harold P. Lehmann
2021 J jnl
Aggregation Delayed Federated Learning.
CoRR
Ye Xue, Diego Klabjan, Yuan Luo
2021 — conf
COVID Vaccine and Cardiovascular Risks: A Natural Language Analysis of Vaccine Adverse Event Reports.
BIBM
Yiqing Zhao, Michael G. Ison, Yuan Luo
2021 J jnl
Characterizing phenotypic abnormalities associated with high-risk individuals developing lung cancer using electronic health records from the All of Us researcher workbench.
J. Am. Medical Informatics Assoc.
Jie Na, Nansu Zong, Chen Wang, David E. Midthun, Yuan Luo, Ping Yang, Guoqian Jiang
2021 J jnl
Constrained tensor factorization for computational phenotyping and mortality prediction in patients with cancer.
CoRR
Francisco Y. Cai, Chengsheng Mao, Yuan Luo
2021 J jnl
Deep learning for cancer type classification and driver gene identification.
BMC Bioinform.
Zexian Zeng, Chengsheng Mao, Andy H. Vo, Xiaoyu Li, Janna Ore Nugent, Seema A. Khan, Susan E. Clare, Yuan Luo
2021 J jnl
Disparities in Social Determinants among Performances of Mortality Prediction with Machine Learning for Sepsis Patients.
CoRR
Hanyin Wang, Yikuan Li, Andrew Naidech, Yuan Luo
2021 — conf
Early Prediction of Mortality in Critical Care Setting in Sepsis Patients Using Structured Features and Unstructured Clinical Notes.
BIBM
Jiyoung Shin, Yikuan Li, Yuan Luo
2021 J jnl
Early Prediction of Mortality in Critical Care Setting in Sepsis Patients Using Structured Features and Unstructured Clinical Notes.
CoRR
Jiyoung Shin, Yikuan Li, Yuan Luo
2021 Misc conf
Evaluation of the Portability of Natural Language Processing-based Computable Phenotypes in the eMERGE Network.
AMIA
Jennifer A. Pacheco, Luke V. Rasmussen, Ken Wiley, Thomas N. Person, David J. Cronkite, Sunghwan Sohn, Shawn N. Murphy, Justin H. Gundelach, Vivian S. Gainer, Victor M. Castro, Cong Liu, Todd Lingren, Frank D. Mentch, Agnes S. Sundaresan, Garrett Eickelberg, Valerie Willis, Al'ona Furmanchuk, Roshan Patel, David S. Carrell, Marc S. Williams, Elizabeth W. Karlson, Jodell E. Linder, Yuan Luo, Chunhua Weng, Wei-Qi Wei
2021 Misc conf
FHIRTime: Standardizing Temporal Patterns Identified from Clinical Narratives Using HL7 FHIR.
AMIA
Daniel J. Stone, Sijia Liu, Yuan Luo, Andrew Wen, Nansu Zong, Luke V. Rasmussen, Prakash Adekkanattu, Pascal S. Brandt, Jennifer A. Pacheco, Fei Wang, Cui Tao, Jyotishman Pathak, Hongfang Liu, Guoqian Jiang
2021 Misc conf
Graph Based Machine Learning for Healthcare: State of the Art, Challenges, and Opportunities.
AMIA
Yuan Luo, Fei Wang, Marinka Zitnik, Shuiwang Ji
2021 Misc conf
Multi-Modal Data Science for Healthcare: State of the Art, Challenges, and Opportunities.
AMIA
Yuan Luo, Fei Wang, Benjamin S. Glicksberg, Jessilyn Dunn, Nigam Shah
2021 Misc conf
Multi-site Evaluation of Longitudinal Changes in Ejection Fraction in Heart Failure Patients Through Data-driven Phenotyping.
AMIA
Prakash Adekkanattu, Jennifer A. Pacheco, Joseph Kabariti, Daniel J. Stone, Yue Yu, Parag Goyal, Faraz S. Ahmad, Guoqian Jiang, Yuan Luo, Luke V. Rasmussen, Pascal S. Brandt, Zhenxing Xu, Jie Xu, Fei Wang, Natalie C. Benda, Thomas R. Campion Jr., Jyotishman Pathak
2021 J jnl
Natural language processing to identify lupus nephritis phenotype in electronic health records.
CoRR
Yu Deng, Jennifer A. Pacheco, Anh H. Chung, Chengsheng Mao, Joshua C. Smith, Juan Zhao, Wei-Qi Wei, April Barnado, Chunhua Weng, Cong Liu, Adam Cordon, Jingzhi Yu, Yacob Tedla, Abel N. Kho, Rosalind Ramsey-Goldman, Theresa Walunas, Yuan Luo
2021 J jnl
Non-Convex Optimization with Spectral Radius Regularization.
CoRR
Adam Sandler, Diego Klabjan, Yuan Luo
2021 Misc conf
On Constraints and Considerations for Extending Support for Natural Language Processing-Based FHIR Resource Generation.
AMIA
Andrew Wen, Luke V. Rasmussen, Daniel J. Stone, Sijia Liu, Prakash Adekkanattu, Pascal S. Brandt, Jennifer A. Pacheco, Yuan Luo, Fei Wang, Jyotishman Pathak, Hongfang Liu, Guoqian Jiang
2021 A* conf
Open-Set Recognition with Gaussian Mixture Variational Autoencoders.
AAAI
Alexander Cao, Yuan Luo, Diego Klabjan
2021 A* conf
PANTHER: Pathway Augmented Nonnegative Tensor Factorization for HighER-order Feature Learning.
AAAI
Yuan Luo, Chengsheng Mao
2021 — conf
SNPs Filtered by Allele Frequency Improve the Prediction of Hypertension Subtypes.
BIBM
Yiming Li, Sanjiv J. Shah, Donna Arnett, Ryan Irvin, Yuan Luo
2021 J jnl
SNPs Filtered by Allele Frequency Improve the Prediction of Hypertension Subtypes.
CoRR
Yiming Li, Sanjiv J. Shah, Donna Arnett, Ryan Irvin, Yuan Luo
2021 — conf
Unsupervised Learning to Subphenotype Delirium Patients from Electronic Health Records.
BIBM
Yiqing Zhao, Yuan Luo
2021 J jnl
Unsupervised Learning to Subphenotype Delirium Patients from Electronic Health Records.
CoRR
Yiqing Zhao, Yuan Luo
2021 — conf
Unsupervised clustering analysis of SARS-Cov-2 population structure reveals six major subtypes at early stage across the world.
BIBM
Yawei Li, Qingyun Liu, Zexian Zeng, Yuan Luo
2021 J jnl
Unsupervised phenotyping of sepsis using nonnegative matrix factorization of temporal trends from a multivariate panel of physiological measurements.
BMC Medical Informatics Decis. Mak.
Menghan Ding, Yuan Luo
2021 J jnl
Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data.
J. Am. Medical Informatics Assoc.
Jeffrey G. Klann, Hossein Estiri, Griffin M. Weber, Bertrand Moal, Paul Avillach, Chuan Hong, Amelia L. M. Tan, Brett K. Beaulieu-Jones, Victor M. Castro, Thomas Maulhardt, Alon Geva, Alberto Malovini, Andrew M. South, Shyam Visweswaran, Michele Morris, Malarkodi J. Samayamuthu, Gilbert S. Omenn, Kee Yuan Ngiam, Kenneth D. Mandl, Martin Boeker, Karen L. Olson, Danielle L. Mowery, Robert W. Follett, David A. Hanauer, Riccardo Bellazzi, Jason H. Moore, Ne-Hooi Will Loh, Douglas S. Bell, Kavishwar B. Wagholikar, Luca Chiovato, Valentina Tibollo, Siegbert Rieg, Anthony L. L. J. Li, Vianney Jouhet, Emily Schriver, Zongqi Xia, Meghan Hutch, Yuan Luo, Isaac S. Kohane, Gabriel A. Brat, Shawn N. Murphy
2020 — conf
A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports.
BIBM
Yikuan Li, Hanyin Wang, Yuan Luo
2020 J jnl
A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports.
CoRR
Yikuan Li, Hanyin Wang, Yuan Luo
2020 — conf
A Pre-trained Clinical Language Model for Acute Kidney Injury.
ICHI
Chengsheng Mao, Liang Yao, Yuan Luo
2020 — conf
A Predictive Model for Parkinson's Disease Reveals Candidate Gene Sets for Progression Subtype.
BIBM
Saya R. Dennis, Tanya Simuni, Yuan Luo
2020 J jnl
A novel normalization and differential abundance test framework for microbiome data.
Bioinform.
Yuanjing Ma, Yuan Luo, Hongmei Jiang
2020 Misc conf
Feasibility of Cross-Platform EHR-Driven Phenotyping Using Clinical Quality Language.
AMIA
Pascal S. Brandt, Richard C. Kiefer, Jennifer A. Pacheco, Prakash Adekkanattu, Evan Sholle, Faraz S. Ahmad, Jie Xu, Zhenxing Xu, Jessica S. Ancker, Fei Wang, Yuan Luo, Guoqian Jiang, Jyotishman Pathak, Luke V. Rasmussen
2020 J jnl
Hyperchloremia in critically ill patients: association with outcomes and prediction using electronic health record data.
BMC Medical Informatics Decis. Mak.
Pete Yeh, Yiheng Pan, L. Nelson Sanchez-Pinto, Yuan Luo
2020 Misc conf
Identification of Alzheimer's Disease Subtypes from Electronic Health Records Using a Data-Driven Approach.
AMIA
Jie Xu, Fei Wang, Zhenxing Xu, Prakash Adekkanattu, Pascal S. Brandt, Guoqian Jiang, Richard C. Kiefer, Yuan Luo, Chengsheng Mao, Jennifer A. Pacheco, Luke V. Rasmussen, Yiye Zhang, Richard Isaacson, Jyotishman Pathak
2020 J jnl
Identifying sub-phenotypes of acute kidney injury using structured and unstructured electronic health record data with memory networks.
J. Biomed. Informatics
Zhenxing Xu, Jingyuan Chou, Xi Sheryl Zhang, Yuan Luo, Tamara Isakova, Prakash Adekkanattu, Jessica S. Ancker, Guoqian Jiang, Richard C. Kiefer, Jennifer A. Pacheco, Luke V. Rasmussen, Jyotishman Pathak, Fei Wang
2020 — conf
Improving Medical NLI Using Context-Aware Domain Knowledge.
*SEM@COLING
Shaika Chowdhury, Philip S. Yu, Yuan Luo
2020 — conf
Med2Meta: Learning Representations of Medical Concepts with Meta-embeddings.
HEALTHINF
Shaika Chowdhury, Chenwei Zhang, Philip S. Yu, Yuan Luo
2020 J jnl
Open-Set Recognition with Gaussian Mixture Variational Autoencoders.
CoRR
Alexander Cao, Yuan Luo, Diego Klabjan
2020 J jnl
PANTHER: Pathway Augmented Nonnegative Tensor factorization for HighER-order feature learning.
CoRR
Yuan Luo, Chengsheng Mao
2020 J jnl
Performance-weighted-voting model: an ensemble machine learning method for cancer type classification using whole-exome sequencing mutation.
Quant. Biol.
Yawei Li, Yuan Luo
2020 J jnl
Predicting mortality in critically ill patients with diabetes using machine learning and clinical notes.
BMC Medical Informatics Decis. Mak.
Jiancheng Ye, Liang Yao, Jiahong Shen, Rethavathi Janarthanam, Yuan Luo
2020 J jnl
Prediction of breast cancer distant recurrence using natural language processing and knowledge-guided convolutional neural network.
Artif. Intell. Medicine
Hanyin Wang, Yikuan Li, Seema A. Khan, Yuan Luo
2020 J jnl
Predictive modeling of bacterial infections and antibiotic therapy needs in critically ill adults.
J. Biomed. Informatics
Garrett Eickelberg, L. Nelson Sanchez-Pinto, Yuan Luo
2020 — conf
ScanMap: Supervised Confounding Aware Non-negative Matrix Factorization for Polygenic Risk Modeling.
MLHC
Yuan Luo, Chengsheng Mao
2020 J jnl
Supervised subgraph augmented non-negative matrix factorization for interpretable manufacturing time series data analytics.
IISE Trans.
Hongyue Sun, Ran Jin, Yuan Luo
2020 J jnl
Towards Expressive Graph Representation.
CoRR
Chengsheng Mao, Liang Yao, Yuan Luo
2020 Misc conf
Unsupervised learning for systemic lupus erythematosus subtype identification: electronic health record vs registry data.
AMIA
Yu Deng, Anika S. Ghosh, Anh H. Chung, Yacob Tedla, Abel N. Kho, Rosalind Ramsey-Goldman, Yuan Luo, Theresa L. Walunas
2019 J jnl
Are My EHRs Private Enough? Event-Level Privacy Protection.
IEEE ACM Trans. Comput. Biol. Bioinform.
Chengsheng Mao, Yuan Zhao, Mengxin Sun, Yuan Luo
2019 J jnl
Classifying relations in clinical narratives using segment graph convolutional and recurrent neural networks (Seg-GCRNs).
J. Am. Medical Informatics Assoc.
Yifu Li, Ran Jin, Yuan Luo
2019 J jnl
Clinical text classification with rule-based features and knowledge-guided convolutional neural networks.
BMC Medical Informatics Decis. Mak.
Liang Yao, Chengsheng Mao, Yuan Luo
2019 J jnl
Conditional Hierarchical Bayesian Tucker Decomposition.
CoRR
Adam Sandler, Diego Klabjan, Yuan Luo
2019 Misc conf
Considerations for Improving the Portability of Electronic Health Record-Based Phenotype Algorithms.
AMIA
Luke V. Rasmussen, Pascal S. Brandt, Guoqian Jiang, Richard C. Kiefer, Jennifer A. Pacheco, Prakash Adekkanattu, Jessica S. Ancker, Fei Wang, Zhenxing Xu, Jyotishman Pathak, Yuan Luo
2019 J jnl
Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge summaries.
J. Biomed. Informatics
Na Hong, Andrew Wen, Daniel J. Stone, Shintaro Tsuji, Paul R. Kingsbury, Luke V. Rasmussen, Jennifer A. Pacheco, Prakash Adekkanattu, Fei Wang, Yuan Luo, Jyotishman Pathak, Hongfang Liu, Guoqian Jiang
2019 J jnl
Developing a portable natural language processing based phenotyping system.
BMC Medical Informatics Decis. Mak.
Himanshu Sharma, Chengsheng Mao, Yizhen Zhang, Haleh Vatani, Liang Yao, Yizhen Zhong, Luke V. Rasmussen, Guoqian Jiang, Jyotishman Pathak, Yuan Luo
2019 — conf
Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes and Structured Multivariate Physiological Measurements.
MedInfo
Mengxin Sun, Jason Baron, Anand Dighe, Peter Szolovits, Richard G. Wunderink, Tamara Isakova, Yuan Luo
2019 J jnl
Early prediction of acute kidney injury following ICU admission using a multivariate panel of physiological measurements.
BMC Medical Informatics Decis. Mak.
Lindsay P. Zimmerman, Paul Reyfman, Angela D. R. Smith, Zexian Zeng, Abel N. Kho, L. Nelson Sanchez-Pinto, Yuan Luo
2019 Misc conf
Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study.
AMIA
Prakash Adekkanattu, Guoqian Jiang, Yuan Luo, Paul R. Kingsbury, Zhenxing Xu, Luke V. Rasmussen, Jennifer A. Pacheco, Richard C. Kiefer, Daniel J. Stone, Pascal S. Brandt, Liang Yao, Yizhen Zhong, Yu Deng, Fei Wang, Jessica S. Ancker, Thomas R. Campion Jr., Jyotishman Pathak
2019 J jnl
Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study.
CoRR
Prakash Adekkanattu, Guoqian Jiang, Yuan Luo, Paul R. Kingsbury, Zhenxing Xu, Luke V. Rasmussen, Jennifer A. Pacheco, Richard C. Kiefer, Daniel J. Stone, Pascal S. Brandt, Liang Yao, Yizhen Zhong, Yu Deng, Fei Wang, Jessica S. Ancker, Thomas R. Campion Jr., Jyotishman Pathak
2019 A* conf
Graph Convolutional Networks for Text Classification.
AAAI
Liang Yao, Chengsheng Mao, Yuan Luo
2019 J jnl
Hierarchical Semantic Correspondence Learning for Post-Discharge Patient Mortality Prediction.
CoRR
Shaika Chowdhury, Chenwei Zhang, Philip S. Yu, Yuan Luo
2019 J jnl
Identification of Predictive Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks.
CoRR
Zhenxing Xu, Jingyuan Chou, Xi Sheryl Zhang, Yuan Luo, Tamara Isakova, Prakash Adekkanattu, Jessica S. Ancker, Guoqian Jiang, Richard C. Kiefer, Jennifer A. Pacheco, Luke V. Rasmussen, Jyotishman Pathak, Fei Wang
2019 J jnl
Identifying Breast Cancer Distant Recurrences from Electronic Health Records Using Machine Learning.
J. Heal. Informatics Res.
Zexian Zeng, Liang Yao, Ankita Roy, Xiaoyu Li, Sasa Espino, Susan E. Clare, Seema A. Khan, Yuan Luo
2019 J jnl
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-rays.
CoRR
Chengsheng Mao, Liang Yao, Yuan Luo
2019 J jnl
Integrating hypertension phenotype and genotype with hybrid non-negative matrix factorization.
Bioinform.
Yuan Luo, Chengsheng Mao, Yiben Yang, Fei Wang, Faraz S. Ahmad, Donna Arnett, Marguerite R. Irvin, Sanjiv J. Shah
2019 J jnl
Integrating hypertension phenotype and genotype with hybrid non-negative matrix factorization.
Bioinform.
Yuan Luo, Chengsheng Mao, Yiben Yang, Fei Wang, Faraz S. Ahmad, Donna Arnett, Marguerite R. Irvin, Sanjiv J. Shah
2019 J jnl
KG-BERT: BERT for Knowledge Graph Completion.
CoRR
Liang Yao, Chengsheng Mao, Yuan Luo
2019 J jnl
Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network.
J. Biomed. Informatics
Ning Shang, Cong Liu, Luke V. Rasmussen, Casey N. Ta, Robert J. Carroll, Barbara Benoit, Todd Lingren, Ozan Dikilitas, Frank D. Mentch, David S. Carrell, Wei-Qi Wei, Yuan Luo, Vivian S. Gainer, Iftikhar J. Kullo, Jennifer A. Pacheco, Hakon Hakonarson, Theresa L. Walunas, Joshua C. Denny, Chunhua Weng
2019 J jnl
Med2Meta: Learning Representations of Medical Concepts with Meta-Embeddings.
CoRR
Shaika Chowdhury, Chenwei Zhang, Philip S. Yu, Yuan Luo
2019 J jnl
MedGCN: Graph Convolutional Networks for Multiple Medical Tasks.
CoRR
Chengsheng Mao, Liang Yao, Yuan Luo
2019 J jnl
Mixed Pooling Multi-View Attention Autoencoder for Representation Learning in Healthcare.
CoRR
Shaika Chowdhury, Chenwei Zhang, Philip S. Yu, Yuan Luo
2019 — conf
Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension.
IEEE BigData
Ye Xue, Diego Klabjan, Yuan Luo
2019 J jnl
Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension.
CoRR
Ye Xue, Diego Klabjan, Yuan Luo
2019 J jnl
Natural Language Processing for EHR-Based Computational Phenotyping.
IEEE ACM Trans. Comput. Biol. Bioinform.
Zexian Zeng, Yu Deng, Xiaoyu Li, Tristan Naumann, Yuan Luo
2019 — conf
Phenotyping Multiple Organ Dysfunction Syndrome Using Temporal Trends in Critically Ill Children.
BIBM
Emily Kunce Stroup, Yuan Luo, L. Nelson Sanchez-Pinto
2019 J jnl
Predicting ICU readmission using grouped physiological and medication trends.
Artif. Intell. Medicine
Ye Xue, Diego Klabjan, Yuan Luo
2019 J jnl
Recent Advances in Supervised Dimension Reduction: A Survey.
Mach. Learn. Knowl. Extr.
Guoqing Chao, Yuan Luo, Weiping Ding
2019 — conf
Rich Text Formatted EHR Narratives: A Hidden and Ignored Trove.
MedInfo
Zexian Zeng, Yuan Zhao, Mengxin Sun, Andy H. Vo, Justin Starren, Yuan Luo
2019 — conf
Stratified Mortality Prediction of Patients with Acute Kidney Injury in Critical Care.
MedInfo
Zhenxing Xu, Yuan Luo, Prakash Adekkanattu, Jessica S. Ancker, Guoqian Jiang, Richard C. Kiefer, Jennifer A. Pacheco, Luke V. Rasmussen, Jyotishman Pathak, Fei Wang
2019 J jnl
Traditional Chinese medicine clinical records classification with BERT and domain specific corpora.
J. Am. Medical Informatics Assoc.
Liang Yao, Zhe Jin, Chengsheng Mao, Yin Zhang, Yuan Luo
2019 — conf
Using Machine Learning to Integrate Socio-Behavioral Factors in Predicting Cardiovascular-Related Mortality Risk.
MedInfo
Hanyin Wang, Yikuan Li, Hongyan Ning, John Wilkins, Donald Lloyd-Jones, Yuan Luo
2019 — conf
Using Machine Learning to Predict Hyperchloremia in Critically Ill Patients.
BIBM
Pete Yeh, Yiheng Pan, L. Nelson Sanchez-Pinto, Yuan Luo
2018 J jnl
3D-MICE: integration of cross-sectional and longitudinal imputation for multi-analyte longitudinal clinical data.
J. Am. Medical Informatics Assoc.
Yuan Luo, Peter Szolovits, Anand Dighe, Jason Baron
2018 J jnl
Are My EHRs Private Enough? -Event-level Privacy Protection.
CoRR
Chengsheng Mao, Yuan Zhao, Mengxin Sun, Yuan Luo
2018 J jnl
Cancer classification and pathway discovery using non-negative matrix factorization.
CoRR
Zexian Zeng, Andy H. Vo, Chengsheng Mao, Susan E. Clare, Seema A. Khan, Yuan Luo
2018 — conf
Characterizing Design Patterns of EHR-Driven Phenotype Extraction Algorithms.
BIBM
Yizhen Zhong, Luke V. Rasmussen, Yu Deng, Jennifer A. Pacheco, Maureen E. Smith, Justin Starren, Wei-Qi Wei, Peter Speltz, Joshua C. Denny, Nephi Walton, George Hripcsak, Christopher G. Chute, Yuan Luo
2018 J jnl
Characterizing Design Patterns of EHR-Driven Phenotype Extraction Algorithms.
CoRR
Yizhen Zhong, Luke V. Rasmussen, Yu Deng, Jennifer A. Pacheco, Maureen E. Smith, Justin Starren, Wei-Qi Wei, Peter Speltz, Joshua C. Denny, Nephi Walton, George Hripcsak, Christopher G. Chute, Yuan Luo
2018 — conf
Clinical Text Classification with Rule-based Features and Knowledge-guided Convolutional Neural Networks.
ICHI Workshops
Liang Yao, Chengsheng Mao, Yuan Luo
2018 J jnl
Clinical Text Classification with Rule-based Features and Knowledge-guided Convolutional Neural Networks.
CoRR
Liang Yao, Chengsheng Mao, Yuan Luo
2018 — conf
Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest X-ray Images.
BIBM
Chengsheng Mao, Liang Yao, Yiheng Pan, Yuan Luo, Zexian Zeng
2018 J jnl
Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest X-ray Images.
CoRR
Chengsheng Mao, Yiheng Pan, Zexian Zeng, Liang Yao, Yuan Luo
2018 J jnl
Developing a Portable Natural Language Processing Based Phenotyping System.
CoRR
Himanshu Sharma, Chengsheng Mao, Yizhen Zhang, Haleh Vatani, Liang Yao, Yizhen Zhong, Luke V. Rasmussen, Guoqian Jiang, Jyotishman Pathak, Yuan Luo
2018 J jnl
Distribution Networks for Open Set Learning.
CoRR
Chengsheng Mao, Liang Yao, Yuan Luo
2018 — conf
Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes.
BIBM
Yikuan Li, Liang Yao, Chengsheng Mao, Anand Srivastava, Xiaoqian Jiang, Yuan Luo
2018 J jnl
Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes.
CoRR
Yikuan Li, Liang Yao, Chengsheng Mao, Anand Srivastava, Xiaoqian Jiang, Yuan Luo
2018 J jnl
Efficient Genomic Interval Queries Using Augmented Range Trees.
CoRR
Chengsheng Mao, Alal Eran, Yuan Luo
2018 J jnl
Graph Convolutional Networks for Text Classification.
CoRR
Liang Yao, Chengsheng Mao, Yuan Luo
2018 — conf
Implementing a Portable Clinical NLP System with a Common Data Model - a Lisp Perspective.
BIBM
Yuan Luo, Peter Szolovits
2018 J jnl
Implementing a Portable Clinical NLP System with a Common Data Model - a Lisp Perspective.
CoRR
Yuan Luo, Peter Szolovits
2018 — conf
Integrating Hypertension Phenotype and Genotype with Hybrid Non-negative Matrix Factorization.
MLHC
Yuan Luo, Chengsheng Mao, Yiben Yang, Fei Wang, Faraz S. Ahmad, Donna Arnett, Marguerite R. Irvin, Sanjiv J. Shah
2018 J jnl
Integrating Hypertension Phenotype and Genotype with Hybrid Non-negative Matrix Factorization.
CoRR
Yuan Luo, Chengsheng Mao, Yiben Yang, Fei Wang, Faraz S. Ahmad, Donna Arnett, Marguerite R. Irvin, Sanjiv J. Shah
2018 Misc conf
Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease.
AMIA
Xi Zhang, Lifang He, Kun Chen, Yuan Luo, Jiayu Zhou, Fei Wang
2018 J jnl
Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease.
CoRR
Xi Zhang, Lifang He, Kun Chen, Yuan Luo, Jiayu Zhou, Fei Wang
2018 J jnl
Natural Language Processing for EHR-Based Computational Phenotyping.
CoRR
Zexian Zeng, Yu Deng, Xiaoyu Li, Tristan Naumann, Yuan Luo
2018 — conf
Portable Phenotyping System: A Portable Machine-Learning Approach to i2b2 Obesity Challenge.
ICHI Workshops
Himanshu Sharma, Chengsheng Mao, Yizhen Zhang, Haleh Vatani, Liang Yao, Yizhen Zhong, Luke V. Rasmussen, Guoqian Jiang, Jyotishman Pathak, Yuan Luo
2018 J jnl
Segment convolutional neural networks (Seg-CNNs) for classifying relations in clinical notes.
J. Am. Medical Informatics Assoc.
Yuan Luo, Yu Cheng, Özlem Uzuner, Peter Szolovits, Justin Starren
2018 — conf
Supervised Nonnegative Matrix Factorization to Predict ICU Mortality Risk.
BIBM
Guoqing Chao, Chengsheng Mao, Fei Wang, Yuan Zhao, Yuan Luo
2018 J jnl
Supervised Nonnegative Matrix Factorization to Predict ICU Mortality Risk.
CoRR
Guoqing Chao, Chengsheng Mao, Fei Wang, Yuan Zhao, Yuan Luo
2018 — conf
Using Clinical Narratives and Structured Data to Identify Distant Recurrences in Breast Cancer.
ICHI
Zexian Zeng, Ankita Roy, Xiaoyu Li, Sasa Espino, Susan E. Clare, Seema A. Khan, Yuan Luo
2018 J jnl
Using Clinical Narratives and Structured Data to Identify Distant Recurrences in Breast Cancer.
CoRR
Zexian Zeng, Ankita Roy, Xiaoyu Li, Sasa Espino, Susan E. Clare, Seema A. Khan, Yuan Luo
2018 J jnl
Using natural language processing and machine learning to identify breast cancer local recurrence.
BMC Bioinform.
Zexian Zeng, Sasa Espino, Ankita Roy, Xiaoyu Li, Seema A. Khan, Susan E. Clare, Xia Jiang, Richard E. Neapolitan, Yuan Luo
2017 J jnl
Bridging semantics and syntax with graph algorithms - state-of-the-art of extracting biomedical relations.
Briefings Bioinform.
Yuan Luo, Özlem Uzuner, Peter Szolovits
2017 J jnl
Bridging semantics and syntax with graph algorithms - state-of-the-art of extracting biomedical relations.
Briefings Bioinform.
Yuan Luo, Özlem Uzuner, Peter Szolovits
2017 Misc conf
Contralateral Breast Cancer Event Detection Using Nature Language Processing.
AMIA
Zexian Zeng, Xiaoyu Li, Sasa Espino, Ankita Roy, Kristen Kitsch, Susan E. Clare, Seema A. Khan, Yuan Luo
2017 J jnl
Recurrent neural networks for classifying relations in clinical notes.
J. Biomed. Informatics
Yuan Luo
2017 J jnl
Tensor factorization toward precision medicine.
Briefings Bioinform.
Yuan Luo, Fei Wang, Peter Szolovits
2016 Misc conf
Automatic identification and extraction of design patterns of EHR-driven phenotyping algorithms.
AMIA
Yizhen Zhong, Luke V. Rasmussen, Justin Starren, Yuan Luo
2016 Misc conf
Computational Phenotyping Methods.
AMIA
Yuan Luo, Jimeng Sun, Xiaoqian Jiang, Fei Wang
2016 A* conf
Predicting ICU Mortality Risk by Grouping Temporal Trends from a Multivariate Panel of Physiologic Measurements.
AAAI
Yuan Luo, Yu Xin, Rohit Joshi, Leo A. Celi, Peter Szolovits
2015 J jnl
Subgraph augmented non-negative tensor factorization (SANTF) for modeling clinical narrative text.
J. Am. Medical Informatics Assoc.
Yuan Luo, Yu Xin, Ephraim P. Hochberg, Rohit Joshi, Özlem Uzuner, Peter Szolovits
2015 — —
Towards unified biomedical modeling with subgraph mining and factorization algorithms.
Yuan Luo
2014 Misc conf
Quantifying Information Redundancy in Common Laboratory Tests.
AMIA
Yuan Luo, Jason Baron, Peter Szolovits, Anand Dighe
2014 J jnl
Research and applications: Automatic lymphoma classification with sentence subgraph mining from pathology reports.
J. Am. Medical Informatics Assoc.
Yuan Luo, Aliyah R. Sohani, Ephraim P. Hochberg, Peter Szolovits
2008 J jnl
A de-identifier for medical discharge summaries.
Artif. Intell. Medicine
Özlem Uzuner, Tawanda C. Sibanda, Yuan Luo, Peter Szolovits
2008 J jnl
Viewpoint Paper: Identifying Patient Smoking Status from Medical Discharge Records.
J. Am. Medical Informatics Assoc.
Özlem Uzuner, Ira Goldstein, Yuan Luo, Isaac S. Kohane
2007 J jnl
Viewpoint Paper: Evaluating the State-of-the-Art in Automatic De-identification.
J. Am. Medical Informatics Assoc.
Özlem Uzuner, Yuan Luo, Peter Szolovits
2006 — conf
Question Answering Experiments and Resources.
TREC
Boris Katz, Gregory Marton, Sue Felshin, Daniel Loreto, Ben Lu, Federico Mora, Özlem Uzuner, Michael McGraw-Herdeg, Natalie Cheung, Alexey Radul, Yuan Kui Shen, Yuan Luo, Gabriel Zaccak