Shyam Visweswaran

125 papers B 1Misc 30Journal 75Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A resource for Logical Observation Identifiers Names and Codes terms that may be associated with identifying information. J. Am. Medical Informatics Assoc. Mehdi Nourelahi, Eugene Mathew Sadhu, Malarkodi J. Samayamuthu, Shyam Visweswaran
2025	J	`jnl`	Generative Foundation Model for Structured and Unstructured Electronic Health Records. CoRR Sonish Sivarajkumar, Hang Zhang, Yuelyu Ji, Maneesh Bilalpur, Xizhi Wu, Chenyu Li, Min Gu Kwak, Shyam Visweswaran, Yanshan Wang
2025	J	`jnl`	In defense of empathic informatics. J. Am. Medical Informatics Assoc. Harry Hochheiser, Shyam Visweswaran
2025	—	`conf`	LADDER: Language-Driven Slice Discovery and Error Rectification in Vision Classifiers. ACL (Findings) Shantanu Ghosh, Rayan Syed, Chenyu Wang, Vaibhav Choudhary, Binxu Li, Clare B. Poynton, Shyam Visweswaran, Kayhan Batmanghelich
2025	J	`jnl`	Label efficient phenotyping for Long COVID using electronic health records. npj Digit. Medicine Chuan Hong, Jun Wen, Harrison G. Zhang, Vidul Ayakulangara Panickan, Doris Yang, Alicia W. Chen, Xin Xiong, Xuan Wang, Michele Morris, Sara Morini, Rahul Sangar, Andrew Dey, Malarkodi J. Samayamuthu, Katherine P. Liao, Clara-Lea Bonzel, Vidisha Tanukonda, Monika Maripuri, Jacqueline Honerlaw, Yuk-Lam Ho, Shyam Visweswaran, Isaac S. Kohane, Kelly Cho, Gabriel A. Brat, Zongqi Xia, Tianxi Cai
2025	J	`jnl`	Mammo-FM: Breast-specific foundational model for Integrated Mammographic Diagnosis, Prognosis, and Reporting. CoRR Shantanu Ghosh, Vedant Parthesh Joshi, Rayan Syed, Aya Kassem, Abhishek Varshney, Payel Basak, Weicheng Dai, Judy Wawira Gichoya, Hari M. Trivedi, Imon Banerjee, Shyam Visweswaran, Clare B. Poynton, Kayhan Batmanghelich
2025	J	`jnl`	Mitigating the risk of health inequity exacerbated by large language models. npj Digit. Medicine Yuelyu Ji, Wenhe Ma, Sonish Sivarajkumar, Hang Zhang, Eugene Mathew Sadhu, Zhuochun Li, Xizhi Wu, Shyam Visweswaran, Yanshan Wang
2025	J	`jnl`	Orchestrator Multi-Agent Clinical Decision Support System for Secondary Headache Diagnosis in Primary Care. CoRR Xizhi Wu, Nelly Estefanie Garduno-Rapp, Justin F. Rousseau, Mounika Thakkallapally, Hang Zhang, Yuelyu Ji, Shyam Visweswaran, Yifan Peng, Yanshan Wang
2025	J	`jnl`	The Effect of Enforcing Fairness on Reshaping Explanations in Machine Learning Models. CoRR Joshua Wolff Anderson, Shyam Visweswaran
2024	J	`jnl`	A Literature Review and Framework for Human Evaluation of Generative Large Language Models in Healthcare. CoRR Thomas Yu Chow Tam, Sonish Sivarajkumar, Sumit Kapoor, Alisa V. Stolyar, Katelyn Polanska, Karleigh R. McCarthy, Hunter Osterhoudt, Xizhi Wu, Shyam Visweswaran, Sunyang Fu, Piyush Mathur, Giovanni E. Cacciamani, Cong Sun, Yifan Peng, Yanshan Wang
2024	J	`jnl`	A framework for human evaluation of large language models in healthcare derived from literature review. npj Digit. Medicine Thomas Yu Chow Tam, Sonish Sivarajkumar, Sumit Kapoor, Alisa V. Stolyar, Katelyn Polanska, Karleigh R. McCarthy, Hunter Osterhoudt, Xizhi Wu, Shyam Visweswaran, Sunyang Fu, Piyush Mathur, Giovanni E. Cacciamani, Cong Sun, Yifan Peng, Yanshan Wang
2024	J	`jnl`	Clinical Information Retrieval: A Literature Review. J. Heal. Informatics Res. Sonish Sivarajkumar, Haneef Ahamed Mohammad, David Oniani, Kirk Roberts, William R. Hersh, Hongfang Liu, Daqing He, Shyam Visweswaran, Yanshan Wang
2024	—	`conf`	Enhancing Large Language Models for Clinical Decision Support by Incorporating Clinical Practice Guidelines. ICHI David Oniani, Xizhi Wu, Shyam Visweswaran, Sumit Kapoor, Shravan Kooragayalu, Katelyn Polanska, Yanshan Wang
2024	J	`jnl`	Enhancing Large Language Models for Clinical Decision Support by Incorporating Clinical Practice Guidelines. CoRR David Oniani, Xizhi Wu, Shyam Visweswaran, Sumit Kapoor, Shravan Kooragayalu, Katelyn Polanska, Yanshan Wang
2024	J	`jnl`	Extraction of sleep information from clinical notes of Alzheimer's disease patients using natural language processing. J. Am. Medical Informatics Assoc. Sonish Sivarajkumar, Thomas Yu Chow Tam, Haneef Ahamed Mohammad, Samuel Viggiano, David Oniani, Shyam Visweswaran, Yanshan Wang
2024	J	`jnl`	Fairness and inclusion methods for biomedical informatics research. J. Biomed. Informatics Shyam Visweswaran, Yuan Luo, Mor Peleg
2024	—	`conf`	Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography. MICCAI (12) Shantanu Ghosh, Clare B. Poynton, Shyam Visweswaran, Kayhan Batmanghelich
2024	J	`jnl`	Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography. CoRR Shantanu Ghosh, Clare B. Poynton, Shyam Visweswaran, Kayhan Batmanghelich
2024	J	`jnl`	MedSyn: Text-Guided Anatomy-Aware Synthesis of High-Fidelity 3-D CT Images. IEEE Trans. Medical Imaging Yanwu Xu, Li Sun, Wei Peng, Shuyue Jia, Katelyn Morrison, Adam Perer, Afrooz Zandifar, Shyam Visweswaran, Motahhare Eslami, Kayhan Batmanghelich
2024	J	`jnl`	Mitigating the Risk of Health Inequity Exacerbated by Large Language Models. CoRR Yuelyu Ji, Wenhe Ma, Sonish Sivarajkumar, Hang Zhang, Eugene Mathew Sadhu, Zhuochun Li, Xizhi Wu, Shyam Visweswaran, Yanshan Wang
2024	J	`jnl`	Precision Rehabilitation for Patients Post-Stroke based on Electronic Health Records and Machine Learning. CoRR Fengyi Gao, Xingyu Zhang, Sonish Sivarajkumar, Parker E. Denny, Bayan M. Aldhahwani, Shyam Visweswaran, Ryan Shi, William Hogan, Allyn Bove, Yanshan Wang
2024	J	`jnl`	Towards cross-application model-agnostic federated cohort discovery. J. Am. Medical Informatics Assoc. Nicholas J. Dobbins, Michele Morris, Eugene Sadhu, Douglas MacFadden, Marc-Danie Nazaire, William Simons, Griffin M. Weber, Shawn N. Murphy, Shyam Visweswaran
2023	J	`jnl`	A broadly applicable approach to enrich electronic-health-record cohorts by identifying patients with complete data: a multisite evaluation. J. Am. Medical Informatics Assoc. Jeffrey G. Klann, Darren W. Henderson, Michele Morris, Hossein Estiri, Griffin M. Weber, Shyam Visweswaran, Shawn N. Murphy
2023	J	`jnl`	A new method for estimating the probability of causal relationships from observational data: Application to the study of the short-term effects of air pollution on cardiovascular and respiratory disease. Artif. Intell. Medicine Bryan Andrews, Chirayu Wongchokprasitti, Shyam Visweswaran, Chirag M. Lakhani, Chirag J. Patel, Gregory F. Cooper
2023	J	`jnl`	An Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing. CoRR Sonish Sivarajkumar, Mark Kelley, Alyssa Samolyk-Mazzanti, Shyam Visweswaran, Yanshan Wang
2023	J	`jnl`	Extracting Physical Rehabilitation Exercise Information from Clinical Notes: a Comparison of Rule-Based and Machine Learning Natural Language Processing Techniques. CoRR Stephen W. Shaffran, Fengyi Gao, Parker E. Denny, Bayan M. Aldhahwani, Allyn Bove, Shyam Visweswaran, Yanshan Wang
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`	MedSyn: Text-guided Anatomy-aware Synthesis of High-Fidelity 3D CT Images. CoRR Yanwu Xu, Li Sun, Wei Peng, Shyam Visweswaran, Kayhan Batmanghelich
2023	J	`jnl`	ReDWINE: A Clinical Datamart with Text Analytical Capabilities to Facilitate Rehabilitation Research. CoRR David Oniani, Bambang Parmanto, Andi Saptono, Allyn Bove, Janet Freburger, Shyam Visweswaran, Nickie Cappella, Brian McLay, Jonathan C. Silverstein, Michael J. Becich, Anthony Delitto, Elizabeth Skidmore, Yanshan Wang
2023	J	`jnl`	ReDWINE: A clinical datamart with text analytical capabilities to facilitate rehabilitation research. Int. J. Medical Informatics David Oniani, Bambang Parmanto, Andi Saptono, Allyn Bove, Janet Freburger, Shyam Visweswaran, Nickie Cappella, Brian McLay, Jonathan C. Silverstein, Michael J. Becich, Anthony Delitto, Elizabeth Skidmore, Yanshan Wang
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	—	`conf`	Time-Series Aware Metrics for the Evaluation of Intraoperative Electroencephalography-Based Ischemia Detection. MedInfo Amir I. Mina, Jeremy U. Espino, Allison M. Bradley, Parthasarathy Thirumala, Kayhan Batmanghelich, Shyam Visweswaran
2022	J	`jnl`	An atomic approach to the design and implementation of a research data warehouse. J. Am. Medical Informatics Assoc. Shyam Visweswaran, Brian McLay, Nickie Cappella, Michele Morris, John T. Milnes, Steven E. Reis, Jonathan C. Silverstein, Michael J. Becich
2022	Misc	`conf`	Delivering Real World Patient Data for Clinical and Translational Research: Approaches from Four Institutions. AMIA Christopher A. Harle, Daniella Meeker, Shyam Visweswaran, Thomas R. Campion Jr., Boyd M. Knosp
2022	Misc	`conf`	Developing and Evaluation of Computational Phenotypes of Metastatic Breast Cancer Using All of Us Data. AMIA Chenyu Li, Israel Dilan-Pantojas, Shyam Visweswaran, Michael J. Becich, Xia Jiang, Richard D. Boyce
2022	J	`jnl`	Extraction of Sleep Information from Clinical Notes of Alzheimer's Disease Patients Using Natural Language Processing. CoRR Haneef Ahamed Mohammad, Sonish Sivarajkumar, Samual Viggiano, David Oniani, Shyam Visweswaran, Yanshan Wang
2022	J	`jnl`	Hyperbolic Molecular Representation Learning for Drug Repositioning. CoRR Ke Yu, Shyam Visweswaran, Kayhan Batmanghelich
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`	Research data warehouse best practices: catalyzing national data sharing through informatics innovation. J. Am. Medical Informatics Assoc. Shawn N. Murphy, Shyam Visweswaran, Michael J. Becich, Thomas R. Campion Jr., Boyd M. Knosp, Genevieve Melton-Meaux, Leslie A. Lenert
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`	Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative. J. Am. Medical Informatics Assoc. Emily R. Pfaff, Andrew T. Girvin, Davera Gabriel, Kristin Kostka, Michele Morris, Matvey B. Palchuk, Harold P. Lehmann, Benjamin R. C. Amor, Mark Bissell, Katie R. Bradwell, Sigfried Gold, Stephanie S. Hong, Johanna Loomba, Amin Manna, Julie A. McMurry, Emily Niehaus, Nabeel Qureshi, Anita Walden, Xiaohan Tanner Zhang, Richard L. Zhu, Richard A. Moffitt, Christopher G. Chute, William G. Adams, Shaymaa Al-Shukri, Alfred Anzalone, Ahmad Baghal, Tellen D. Bennett, Elmer V. Bernstam, Mark M. Bissell, Brian Bush, Thomas R. Campion Jr., Victor Castro, Jack Chang, Deepa D. Chaudhari, Wenjin Chen, San Chu, James J. Cimino, Keith A. Crandall, Mark Crooks, Sara J. Deakyne Davies, John Dipalazzo, David A. Dorr, Dan Eckrich, Sarah E. Eltinge, Daniel G. Fort, George Golovko, Snehil Gupta, Melissa A. Haendel, Janos G. Hajagos, David A. Hanauer, Brett M. Harnett, Ronald Horswell, Nancy Huang, Steven G. Johnson, Michael Kahn, Kamil Khanipov, Curtis Kieler, Katherine Ruiz De Luzuriaga, Sarah E. Maidlow, Ashley Martinez, Jomol Mathew, James C. McClay, Gabriel McMahan, Brian Melancon, Stéphane M. Meystre, Lucio Miele, Hiroki Morizono, Ray Pablo, Lav P. Patel, Jimmy Phuong, Daniel J. Popham, Claudia P. Pulgarin, Carlos Santos, Indra Neil Sarkar, Nancy Sazo, Soko Setoguchi, Selvin Soby, Sirisha Surampalli, Christine Suver, Uma Maheswara Reddy Vangala, Shyam Visweswaran, James von Oehsen, Kellie M. Walters, Laura K. Wiley, David A. Williams, Adrian H. Zai
2021	—	`conf`	A Novel Personalized Random Forest Algorithm for Clinical Outcome Prediction. MedInfo Adriana Johnson, Gregory F. Cooper, Shyam Visweswaran
2021	J	`jnl`	Bayesian network models with decision tree analysis for management of childhood malaria in Malawi. BMC Medical Informatics Decis. Mak. Sanya Bathla Taneja, Gerald P. Douglas, Gregory F. Cooper, Marian G. Michaels, Marek J. Druzdzel, Shyam Visweswaran
2021	Misc	`conf`	Comparison of Population-wide Explanations for Predicting the Outcomes of Patients with Community-Acquired Pneumonia. AMIA Eddie Pérez Claudio, Shyam Visweswaran, Harry Hochheiser
2021	—	`conf`	Dirac Delta Regression: Conditional Density Estimation with Clinical Trials. CD@KDD Eric V. Strobl, Shyam Visweswaran
2021	Misc	`conf`	Patient-Specific Modeling with Lazy Random Forest (LazyRF). AMIA Adriana Johnson, Gregory F. Cooper, Shyam Visweswaran
2021	J	`jnl`	Predicting outcomes in central venous catheter salvage in pediatric central line-associated bloodstream infection. J. Am. Medical Informatics Assoc. Lorne W. Walker, Andrew J. Nowalk, Shyam Visweswaran
2021	J	`jnl`	The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment. J. Am. Medical Informatics Assoc. Melissa A. Haendel, Christopher G. Chute, Tellen D. Bennett, David A. Eichmann, Justin Guinney, Warren A. Kibbe, Philip R. O. Payne, Emily R. Pfaff, Peter N. Robinson, Joel H. Saltz, Heidi Spratt, Christine Suver, John Wilbanks, Adam B. Wilcox, Andrew E. Williams, Chunlei Wu, Clair Blacketer, Robert L. Bradford, James J. Cimino, Marshall Clark, Evan W. Colmenares, Patricia A. Francis, Davera Gabriel, Alexis Graves, Raju Hemadri, Stephanie S. Hong, George Hripcsak, Dazhi Jiao, Jeffrey G. Klann, Kristin Kostka, Adam M. Lee, Harold P. Lehmann, Lora Lingrey, Robert T. Miller, Michele Morris, Shawn N. Murphy, Karthik Natarajan, Matvey B. Palchuk, Usman Sheikh, Harold Solbrig, Shyam Visweswaran, Anita Walden, Kellie M. Walters, Griffin M. Weber, Xiaohan Tanner Zhang, Richard L. Zhu, Benjamin R. C. Amor, Andrew T. Girvin, Amin Manna, Nabeel Qureshi, Michael G. Kurilla, Sam G. Michael, Lili M. Portilla, Joni L. Rutter, Christopher P. Austin, Ken R. Gersing
2021	J	`jnl`	Use, Impact, Weaknesses, and Advanced Features of Search Functions for Clinical Use in Electronic Health Records: A Scoping Review. Appl. Clin. Inform. Jordan R. Hill, Shyam Visweswaran, Xia Ning, Titus K. Schleyer
2021	B	`conf`	Using Distribution Divergence to Predict Changes in the Performance of Clinical Predictive Models. AIME Mohammadamin Tajgardoon, Shyam Visweswaran
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	J	`jnl`	Graphical Presentations of Clinical Data in a Learning Electronic Medical Record. Appl. Clin. Inform. Luca Calzoni, Gilles Clermont, Gregory F. Cooper, Shyam Visweswaran, Harry Hochheiser
2020	Misc	`conf`	Patient-Specific Modeling with Personalized Decision Paths. AMIA Adriana Johnson, Gregory F. Cooper, Shyam Visweswaran
2020	J	`jnl`	Semi-Supervised Hierarchical Drug Embedding in Hyperbolic Space. CoRR Ke Yu, Shyam Visweswaran, Kayhan Batmanghelich
2020	J	`jnl`	Semi-supervised Hierarchical Drug Embedding in Hyperbolic Space. J. Chem. Inf. Model. Ke Yu, Shyam Visweswaran, Kayhan Batmanghelich
2019	—	`conf`	An Empirical Investigation of Instance-Specific Causal Bayesian Network Learning. BIBM Fattaneh Jabbari, Shyam Visweswaran, Gregory F. Cooper
2019	Misc	`conf`	Curating EHR data in the All of Us Research Program. AMIA Karthik Natarajan, Robert J. Carroll, Thomas R. Campion Jr., Joan Grand, Shyam Visweswaran
2019	J	`jnl`	Dirac Delta Regression: Conditional Density Estimation with Clinical Trials. CoRR Eric V. Strobl, Shyam Visweswaran
2019	J	`jnl`	Estimating and Controlling the False Discovery Rate of the PC Algorithm Using Edge-specific P-Values. ACM Trans. Intell. Syst. Technol. Eric V. Strobl, Peter L. Spirtes, Shyam Visweswaran
2019	J	`jnl`	Identifying incidental findings from radiology reports of trauma patients: An evaluation of automated feature representation methods. Int. J. Medical Informatics Gaurav Trivedi, Charmgil Hong, Esmaeel R. Dadashzadeh, Robert M. Handzel, Harry Hochheiser, Shyam Visweswaran
2019	Misc	`conf`	Insights from a dissertation on the development of a Learning Electronic Medical Record System: data-driven, context-aware learning. AMIA Andrew J. King, Shyam Visweswaran, Harry Hochheiser, Gilles Clermont, Gregory F. Cooper
2019	J	`jnl`	Interactive NLP in Clinical Care: Identifying Incidental Findings in Radiology Reports. Appl. Clin. Inform. Gaurav Trivedi, Esmaeel R. Dadashzadeh, Robert M. Handzel, Wendy W. Chapman, Shyam Visweswaran, Harry Hochheiser
2019	—	`ch.`	Markov Blanket Ranking Using Kernel-Based Conditional Dependence Measures. Cause Effect Pairs in Machine Learning Eric V. Strobl, Shyam Visweswaran
2019	Misc	`conf`	Team-Centered Informatics: A Necessary Adaptation to Translational and Implementation Science? AMIA Suresh K. Bhavnani, Shyam Visweswaran, Erich Kummerfeld, Carlos Clark, Rebekah Penton
2019	J	`jnl`	Translational bioinformatics in mental health: open access data sources and computational biomarker discovery. Briefings Bioinform. Jessica D. Tenenbaum, Krithika Bhuvaneshwar, Jane P. Gagliardi, Kate Fultz Hollis, Peilin Jia, Liang Ma, Radhakrishnan Nagarajan, Gopalkumar Rakesh, Vignesh Subbian, Shyam Visweswaran, Zhongming Zhao, Leon Rozenblit
2019	J	`jnl`	Using machine learning to selectively highlight patient information. J. Biomed. Informatics Andrew J. King, Gregory F. Cooper, Gilles Clermont, Harry Hochheiser, Milos Hauskrecht, Dean F. Sittig, Shyam Visweswaran
2018	Misc	`conf`	A Computable Phenotype Library Plugin for i2b2. AMIA Yu Zhang, Michele Morris, Shyam Visweswaran
2018	—	`conf`	An Interactive NLP Tool for Signout Note Preparation. ICHI Gaurav Trivedi, Robert M. Handzel, Shyam Visweswaran, Wendy W. Chapman, Harry Hochheiser
2018	Misc	`conf`	Design of a Learning Electronic Medical Record: A Qualitative Study of ICU Clinicians' Information Needs and Practices. AMIA Luca Calzoni, Gilles Clermont, Gregory F. Cooper, Shyam Visweswaran, Harry Hochheiser
2018	J	`jnl`	Fast causal inference with non-random missingness by test-wise deletion. Int. J. Data Sci. Anal. Eric V. Strobl, Shyam Visweswaran, Peter L. Spirtes
2018	—	`conf`	Instance-Specific Bayesian Network Structure Learning. PGM Fattaneh Jabbari, Shyam Visweswaran, Gregory F. Cooper
2018	Misc	`conf`	Social Context Sentence Classification from Psychiatric Reports using Positive and Unlabeled Learning. AMIA José D. Posada, Lingyun Shi, Sergio M. Castro, Shyam Visweswaran, Neal D. Ryan, Henk Harkema, Rich Tsui
2018	Misc	`conf`	Software Package to Load Data from REDCap to PCORnet CDM 4.0. AMIA Charles D. Borromeo, Bill Shirey, Nickie Cappella, Shyam Visweswaran, Jonathan C. Silverstein, Michael J. Becich
2018	Misc	`conf`	Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System. AMIA Andrew J. King, Gregory F. Cooper, Harry Hochheiser, Gilles Clermont, Milos Hauskrecht, Shyam Visweswaran
2018	Misc	`conf`	Utility of Visual Analytics for Identifying Patient Subgroups in EMRs: Insights for Accelerating Precision Medicine. AMIA Suresh K. Bhavnani, Revathi Sellappan, Saurabh Joshi, Jonathan Starkey, Winston Chan, Tianlong Chen, Shyam Visweswaran
2018	Misc	`conf`	Workflow for Developing i2b2 Ontologies from Source Terminologies in ACT. AMIA Charles D. Borromeo, Bill Shirey, Michele Morris, Yu Zhang, Malarkodi J. Samayamuthu, Shyam Visweswaran
2017	J	`jnl`	Automated annotation and classification of BI-RADS assessment from radiology reports. J. Biomed. Informatics Sergio M. Castro, Eugene Tseytlin, Olga Medvedeva, Kevin J. Mitchell, Shyam Visweswaran, Tanja Bekhuis, Rebecca S. Jacobson
2017	Misc	`conf`	Exploring Novel Graphical Representations of Clinical Data in a Learning EMR. AMIA Luca Calzoni, Gilles Clermont, Gregory F. Cooper, Shyam Visweswaran, Harry Hochheiser
2017	—	`conf`	Eye-tracking for clinical decision support: A method to capture automatically what physicians are viewing in the EMR. CRI Andrew J. King, Harry Hochheiser, Shyam Visweswaran, Gilles Clermont, Gregory F. Cooper
2017	J	`jnl`	Learning Parsimonious Classification Rules from Gene Expression Data Using Bayesian Networks with Local Structure. Data Jonathan L. Lustgarten, Jeya Balaji Balasubramanian, Shyam Visweswaran, Vanathi Gopalakrishnan
2017	J	`jnl`	The Building Blocks of Inter-operability. Appl. Clin. Inform. Adam Culbertson, Satyender Goel, Margaret B. Madden, Niloufar Safaeinili, Kathryn L. Jackson, Thomas Carton, Russ Waitman, Mei Liu, Ashok Krishnamurthy, Lauren Hall, Nickie Cappella, Shyam Visweswaran, Michael J. Becich, Reuben J. Applegate, Elmer V. Bernstam, Russell Rothman, Michael E. Matheny, Gloria P. Lipori, Jiang Bian, William R. Hogan, Douglas S. Bell, Andrew Martin, Shaun J. Grannis, Jeffrey G. Klann, Rebecca Sutphen, Amy O'hara, Abel N. Kho
2017	Misc	`conf`	Vicinity Exploration: Enabling User-Driven Visual Search of Multiple Machine Learning Models for Precision Medicine. AMIA Suresh K. Bhavnani, Archana Ayyaswami, Tianlong Chen, Shyam Visweswaran, Gowtham Bellala, Kevin E. Bassler
2016	J	`jnl`	An informatics research agenda to support precision medicine: seven key areas. J. Am. Medical Informatics Assoc. Jessica D. Tenenbaum, Paul Avillach, Marge M. Benham-Hutchins, Matthew K. Breitenstein, Erin L. Crowgey, Mark A. Hoffman, Xia Jiang, Subha Madhavan, John E. Mattison, Radhakrishnan Nagarajan, Bisakha Ray, Dmitriy Shin, Shyam Visweswaran, Zhongming Zhao, Robert R. Freimuth
2016	J	`jnl`	Outlier-based detection of unusual patient-management actions: An ICU study. J. Biomed. Informatics Milos Hauskrecht, Iyad Batal, Charmgil Hong, Quang Nguyen, Gregory F. Cooper, Shyam Visweswaran, Gilles Clermont
2015	J	`jnl`	Comparison of machine learning classifiers for influenza detection from emergency department free-text reports. J. Biomed. Informatics Arturo López Pineda, Ye Ye, Shyam Visweswaran, Gregory F. Cooper, Michael M. Wagner, Fuchiang (Rich) Tsui
2015	Misc	`conf`	Development and Preliminary Evaluation of a Prototype of a Learning Electronic Medical Record System. AMIA Andrew J. King, Gregory F. Cooper, Harry Hochheiser, Gilles Clermont, Shyam Visweswaran
2015	J	`jnl`	Knowledge transfer via classification rules using functional mapping for integrative modeling of gene expression data. BMC Bioinform. Henry Ogoe, Shyam Visweswaran, Xinghua Lu, Vanathi Gopalakrishnan
2015	—	`conf`	Patient-Specific Modeling of Medical Data. MLDM Guilherme Alberto Sousa Ribeiro, Alexandre César Muniz de Oliveira, Antonio Luiz S. Ferreira, Shyam Visweswaran, Gregory F. Cooper
2014	J	`jnl`	Counting Markov Blanket Structures. CoRR Shyam Visweswaran, Gregory F. Cooper
2014	J	`jnl`	Dependence versus Conditional Dependence in Local Causal Discovery from Gene Expression Data. CoRR Eric V. Strobl, Shyam Visweswaran
2014	J	`jnl`	Identifying genetic interactions associated with late-onset Alzheimer's disease. BioData Min. Charalampos S. Floudas, Nara Um, M. Kamboh, M. Michael Barmada, Shyam Visweswaran
2014	J	`jnl`	Markov Blanket Ranking using Kernel-based Conditional Dependence Measures. CoRR Eric V. Strobl, Shyam Visweswaran
2014	J	`jnl`	Semi-automated literature mining to identify putative biomarkers of disease from multiple biofluids. J. Clin. Bioinform. Rick Jordan, Shyam Visweswaran, Vanathi Gopalakrishnan
2013	—	`conf`	Conditional Outlier Approach for Detection of Unusual Patient Care Actions. AAAI (Late-Breaking Developments) Milos Hauskrecht, Shyam Visweswaran, Gregory F. Cooper, Gilles Clermont
2013	Misc	`conf`	Data-driven identification of unusual clinical actions in the ICU. AMIA Milos Hauskrecht, Shyam Visweswaran, Gregory F. Cooper, Gilles Clermont
2013	Misc	`conf`	Decision Path Models for Patient-Specific Modeling of Patient Outcomes. AMIA Antonio Luiz S. Ferreira, Gregory F. Cooper, Shyam Visweswaran
2013	—	`conf`	Deep Multiple Kernel Learning. ICMLA (1) Eric V. Strobl, Shyam Visweswaran
2013	J	`jnl`	Deep Multiple Kernel Learning. CoRR Eric V. Strobl, Shyam Visweswaran
2013	J	`jnl`	Outlier detection for patient monitoring and alerting. J. Biomed. Informatics Milos Hauskrecht, Iyad Batal, Michal Valko, Shyam Visweswaran, Gregory F. Cooper, Gilles Clermont
2012	—	`conf`	A multivariate probabilistic method for comparing two clinical datasets. IHI Yuriy Sverchkov, Shyam Visweswaran, Gilles Clermont, Milos Hauskrecht, Gregory F. Cooper
2012	J	`jnl`	Application of a spatially-weighted Relief algorithm for ranking genetic predictors of disease. BioData Min. Matthew E. Stokes, Shyam Visweswaran
2012	J	`jnl`	Building an automated SOAP classifier for emergency department reports. J. Biomed. Informatics Danielle L. Mowery, Janyce Wiebe, Shyam Visweswaran, Henk Harkema, Wendy Webber Chapman
2012	Misc	`conf`	Network Label Propagation Yields Reproducible Biomarker SNPs in Alzheimer's Datasets. AMIA Matthew E. Stokes, Shyam Visweswaran
2012	J	`jnl`	The role of complementary bipartite visual analytical representations in the analysis of SNPs: a case study in ancestral informative markers. J. Am. Medical Informatics Assoc. Suresh K. Bhavnani, Gowtham Bellala, Sundar Victor, Kevin E. Bassler, Shyam Visweswaran
2011	J	`jnl`	Application of an efficient Bayesian discretization method to biomedical data. BMC Bioinform. Jonathan L. Lustgarten, Shyam Visweswaran, Vanathi Gopalakrishnan, Gregory F. Cooper
2011	J	`jnl`	Computerized detection of adverse drug reactions in the medical intensive care unit. Int. J. Medical Informatics Sandra L. Kane-Gill, Shyam Visweswaran, Melissa I. Saul, An-Kwok Ian Wong, Louis E. Penrod, Steven M. Handler
2011	J	`jnl`	Learning genetic epistasis using Bayesian network scoring criteria. BMC Bioinform. Xia Jiang, Richard E. Neapolitan, M. Michael Barmada, Shyam Visweswaran
2011	J	`jnl`	The application of naive Bayes model averaging to predict Alzheimer's disease from genome-wide data. J. Am. Medical Informatics Assoc. Wei Wei, Shyam Visweswaran, Gregory F. Cooper
2010	J	`jnl`	Bayesian rule learning for biomedical data mining. Bioinform. Vanathi Gopalakrishnan, Jonathan L. Lustgarten, Shyam Visweswaran, Gregory F. Cooper
2010	J	`jnl`	Learning Instance-Specific Predictive Models. J. Mach. Learn. Res. Shyam Visweswaran, Gregory F. Cooper
2010	J	`jnl`	Learning patient-specific predictive models from clinical data. J. Biomed. Informatics Shyam Visweswaran, Derek C. Angus, Margaret Hsieh, Lisa A. Weissfeld, Donald Yealy, Gregory F. Cooper
2009	Misc	`conf`	A Bayesian Method for Identifying Genetic Interactions. AMIA Shyam Visweswaran, An-Kwok Ian Wong, M. Michael Barmada
2009	—	`conf`	Document Retrieval using a Probabilistic Knowledge Model. KDIR Shuguang Wang, Shyam Visweswaran, Milos Hauskrecht
2009	J	`jnl`	Knowledge-based variable selection for learning rules from proteomic data. BMC Bioinform. Jonathan L. Lustgarten, Shyam Visweswaran, Robert P. Bowser, William R. Hogan, Vanathi Gopalakrishnan
2009	Misc	`conf`	Measuring Stability of Feature Selection in Biomedical Datasets. AMIA Jonathan L. Lustgarten, Vanathi Gopalakrishnan, Shyam Visweswaran
2008	—	`conf`	An Evaluation of Discretization Methods for Learning Rules from Biomedical Datasets. BIOCOMP Jonathan L. Lustgarten, Shyam Visweswaran, Himanshu Grover, Vanathi Gopalakrishnan
2008	Misc	`conf`	Analysis of a Failed Clinical Decision Support System for Management of Congestive Heart Failure. AMIA Rajiv Wadhwa, Douglas B. Fridsma, Melissa I. Saul, Louis E. Penrod, Shyam Visweswaran, Gregory F. Cooper, Wendy W. Chapman
2008	Misc	`conf`	Assessing the Performance Characteristics of Signals Used by a Clinical Event Monitor to Detect Adverse Drug Reactions in the Nursing Home. AMIA Steven M. Handler, Joseph T. Hanlon, Subashan Perera, Melissa I. Saul, Douglas B. Fridsma, Shyam Visweswaran, Stephanie A. Studenski, Yazan F. Roumani, Nicholas G. Castle, David A. Nace, Michael J. Becich
2008	Misc	`conf`	Improving Classification Performance with Discretization on Biomedical Datasets. AMIA Jonathan L. Lustgarten, Vanathi Gopalakrishnan, Himanshu Grover, Shyam Visweswaran
2008	—	`conf`	Improving Peptide Identification via Validation with Intensity-based Modeling of Tandem Mass Spectra. BCBGC Himanshu Grover, Jonathan L. Lustgarten, Shyam Visweswaran, Vanathi Gopalakrishnan
2007	Misc	`conf`	Evidence-based Anomaly Detection in Clinical Domains. AMIA Milos Hauskrecht, Michal Valko, Branislav Kveton, Shyam Visweswaran, Gregory F. Cooper
2005	Misc	`conf`	Deriving the Expected Utility of a Predictive Model When the Utilities Are Uncertain. AMIA Gregory F. Cooper, Shyam Visweswaran
2005	Misc	`conf`	Patient-Specific Models for Predicting the Outcomes of Patients with Community Acquired Pneumonia. AMIA Shyam Visweswaran, Gregory F. Cooper
2004	—	`conf`	Instance-Specific Bayesian Model Averaging for Classification. NIPS Shyam Visweswaran, Gregory F. Cooper
2003	Misc	`conf`	Detecting Adverse Drug Events in Discharge Summaries Using Variations on the Simple Bayes Model. AMIA Shyam Visweswaran, Paul Hanbury, Melissa I. Saul, Gregory F. Cooper