Linying Zhang

27 papers Misc 9Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Shape-informed surrogate models based on signed distance function domain encoding.
J. Comput. Phys.
Linying Zhang, Stefano Pagani, Jun Zhang, Francesco Regazzoni
2024 J jnl
CEHR-GPT: Generating Electronic Health Records with Chronological Patient Timelines.
CoRR
Chao Pang, Xinzhuo Jiang, Nishanth Parameshwar Pavinkurve, Krishna S. Kalluri, Elise L. Minto, Jason Patterson, Linying Zhang, George Hripcsak, Noémie Elhadad, Karthik Natarajan
2024 J jnl
Causal fairness assessment of treatment allocation with electronic health records.
J. Biomed. Informatics
Linying Zhang, Lauren R. Richter, Yixin Wang, Anna Ostropolets, Noémie Elhadad, David M. Blei, George Hripcsak
2024 J jnl
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium.
CoRR
Hyewon Jeong, Sarah Jabbour, Yuzhe Yang, Rahul Thapa, Hussein Mozannar, William Jongwon Han, Nikita Mehandru, Michael Wornow, Vladislav Lialin, Xin Liu, Alejandro Lozano, Jiacheng Zhu, Rafal Dariusz Kocielnik, Keith Harrigian, Haoran Zhang, Edward Lee, Milos Vukadinovic, Aparna Balagopalan, Vincent Jeanselme, Katherine Matton, Ilker Demirel, Jason A. Fries, Parisa Rashidi, Brett K. Beaulieu-Jones, Xuhai Orson Xu, Matthew B. A. McDermott, Tristan Naumann, Monica Agrawal, Marinka Zitnik, Berk Ustun, Edward Choi, Kristen Yeom, Gamze Gürsoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo
2024 J jnl
Semi-Supervised Transfer Learning Framework for Aging-Aware Library Characterization.
IEEE Trans. Circuits Syst. II Express Briefs
Zhengguang Tang, Cong Li, Hailong You, Zhixiong Di, Linying Zhang, Xingming Liu, Yu Wang, Yong Dai, Geng Bai
2024 J jnl
Shape-informed surrogate models based on signed distance function domain encoding.
CoRR
Linying Zhang, Stefano Pagani, Jun Zhang, Francesco Regazzoni
2023 — conf
GLKE: Global-Local Knowledge Enhanced Text Matching Model.
AIPR
Qiuxian Chen, Linying Zhang
2023 — conf
Multi-Round Reasoning Incorporating Prior Knowledge in Conversational Sentiment Analysis.
AIPR
Linying Zhang, Xiao Yang, Qiuxian Chen
2023 J jnl
Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study.
J. Am. Medical Informatics Assoc.
Anna Ostropolets, Yasser Albogami, Mitchell Conover, Juan M. Banda, William A. Baumgartner Jr., Clair Blacketer, Priyamvada Desai, Scott L. DuVall, Stephen P. Fortin, James P. Gilbert, Asieh Golozar, Joshua Ide, Andrew S. Kanter, David M. Kern, Chungsoo Kim, Lana Y. H. Lai, Chenyu Li, Feifan Liu, Kristine E. Lynch, Evan Minty, Maria Inês Neves, Ding Quan Ng, Tontel Obene, Victor Pera, Nicole Pratt, Gowtham Rao, Nadav Rappoport, Ines Reinecke, Paola Saroufim, Azza Shoaibi, Katherine Simon, Marc A. Suchard, Joel N. Swerdel, Erica A. Voss, James Weaver, Linying Zhang, George Hripcsak, Patrick B. Ryan
2022 J jnl
A Bayesian Causal Inference Approach for Assessing Fairness in Clinical Decision-Making.
CoRR
Linying Zhang, Lauren R. Richter, Yixin Wang, Anna Ostropolets, Noemie Elhadad, David M. Blei, George Hripcsak
2022 J jnl
Adjusting for indirectly measured confounding using large-scale propensity score.
J. Biomed. Informatics
Linying Zhang, Yixin Wang, Martijn J. Schuemie, David M. Blei, George Hripcsak
2022 J jnl
Predicting hospitalization of COVID-19 positive patients using clinician-guided machine learning methods.
J. Am. Medical Informatics Assoc.
Wenyu Song, Linying Zhang, Luwei Liu, Michael Sainlaire, Mehran Karvar, Min-Jeoung Kang, Avery Pullman, Stuart R. Lipsitz, Anthony F. Massaro, Namrata Patil, Ravi Jasuja, Patricia C. Dykes
2022 Misc conf
Using Data Assimilation to Predict Post-Operative Bariatric Surgery Glycemic Status in Adolescents.
AMIA
Lauren R. Richter, Benjamin Albert, Linying Zhang, Ilene Fennoy, David J. Albers, George Hripcsak
2022 Misc conf
Using EHR Data and Machine Learning Methods to Predict Fall Injury.
AMIA
Wenyu Song, Luwei Liu, Hannah Rice, Michael Sainlaire, Lillian Min, Linying Zhang, Tien Thai, Min-Jeoung Kang, Mica Curtin-Bowen, Stuart R. Lipsitz, Lipika Samal, Nancy K. Latham, Patricia C. Dykes
2021 Misc conf
Predicting Hospitalization of COVID-19 Positive Patients Using Machine Learning Methods.
AMIA
Wenyu Song, Linying Zhang, Michael Sainlaire, Mehran Karvar, Min-Jeoung Kang, Avery Pullman, Anthony F. Massaro, Namrata Patil, Ravi Jasuja, Patricia C. Dykes
2021 J jnl
Predicting pressure injury using nursing assessment phenotypes and machine learning methods.
J. Am. Medical Informatics Assoc.
Wenyu Song, Min-Jeoung Kang, Linying Zhang, Wonkyung Jung, Jiyoun Song, David W. Bates, Patricia C. Dykes
2020 J jnl
A scoping review of clinical decision support tools that generate new knowledge to support decision making in real time.
J. Am. Medical Informatics Assoc.
Anna Ostropolets, Linying Zhang, George Hripcsak
2020 Misc conf
Causal Inference from Observational Healthcare Data: Implications, Impacts and Innovations.
AMIA
George Hripcsak, David M. Blei, Elias Bareinboim, Martijn J. Schuemie, Linying Zhang
2020 Misc conf
Evaluation of Large-scale Propensity Score Modeling and Covariate Balance on Potential Unmeasured Confounding in Observational Research.
AMIA
Ruijun Chen, Martijn J. Schuemie, Marc A. Suchard, Anna Ostropolets, Linying Zhang, Patrick B. Ryan, George Hripcsak
2020 Misc conf
Predicting Pressure Injury Using Nursing Assessment Phenotype and Machine Learning Methods.
AMIA
Wenyu Song, Min-Jeoung Kang, Linying Zhang, Jose P. Garcia, David W. Bates, Patricia C. Dykes
2020 Misc conf
The Multi-Outcome Medical Deconfounder: Assessing Treatment Effect on Multiple Renal Measures.
AMIA
Linying Zhang, Yixin Wang, Anna Ostropolets, Ruijun Chen, David M. Blei, George Hripcsak
2019 Misc conf
Investigating female-male differences in risk factors for myocardial infarction using OHDSI tools.
AMIA
Anna Ostropolets, Linying Zhang, Jami Jackson Mulgrave, George Hripcsak
2019 Misc conf
Personalized treatment for type 2 diabetes using weighted k-nearest neighbors.
AMIA
Wenyu Song, Linying Zhang, Emily Gill, Jeremiah Zhe Liu, Adam Wright
2019 J jnl
The Medical Deconfounder: Assessing Treatment Effect with Electronic Health Records (EHRs).
CoRR
Linying Zhang, Yixin Wang, Anna Ostropolets, Jami J. Mulgrave, David M. Blei, George Hripcsak
2019 — conf
The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records.
MLHC
Linying Zhang, Yixin Wang, Anna Ostropolets, Jami J. Mulgrave, David M. Blei, George Hripcsak
2018 J jnl
Evaluating Reinforcement Learning Algorithms in Observational Health Settings.
CoRR
Omer Gottesman, Fredrik D. Johansson, Joshua Meier, Jack Dent, Donghun Lee, Srivatsan Srinivasan, Linying Zhang, Yi Ding, David Wihl, Xuefeng Peng, Jiayu Yao, Isaac Lage, Christopher Mosch, Li-Wei H. Lehman, Matthieu Komorowski, Aldo Faisal, Leo Anthony Celi, David A. Sontag, Finale Doshi-Velez
2016 J jnl
A novel flexible activity refinement approach for improving workflow process flexibility.
Comput. Ind.
Yanrong Jiang, Nanfeng Xiao, Yufeng Zhang, Linying Zhang