Linying Zhang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 25

Top Topics

Electronic Health Records

Incorporating Prior Knowledge

Data Assimilation

Causal Inference

Top Venues

J. Am. Medical Informatics Assoc.

Publications

Zhengguang Tang, Cong Li, Hailong You, Zhixiong Di, Linying Zhang, Xingming Liu, Yu Wang, Yong Dai, Geng Bai
Semi-Supervised Transfer Learning Framework for Aging-Aware Library Characterization. IEEE Trans. Circuits Syst. II Express Briefs 71 (3) (2024)
Chao Pang, Xinzhuo Jiang, Nishanth Parameshwar Pavinkurve, Krishna S. Kalluri, Elise L. Minto, Jason Patterson, Linying Zhang, George Hripcsak, Noémie Elhadad, Karthik Natarajan
CEHR-GPT: Generating Electronic Health Records with Chronological Patient Timelines. CoRR (2024)
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
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. CoRR (2024)
Linying Zhang, Lauren R. Richter, Yixin Wang, Anna Ostropolets, Noémie Elhadad, David M. Blei, George Hripcsak
Causal fairness assessment of treatment allocation with electronic health records. J. Biomed. Informatics 155 (2024)
Linying Zhang, Xiao Yang, Qiuxian Chen
Multi-Round Reasoning Incorporating Prior Knowledge in Conversational Sentiment Analysis. AIPR (2023)
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
Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study. J. Am. Medical Informatics Assoc. 30 (5) (2023)
Qiuxian Chen, Linying Zhang
GLKE: Global-Local Knowledge Enhanced Text Matching Model. AIPR (2023)
Linying Zhang, Yixin Wang, Martijn J. Schuemie, David M. Blei, George Hripcsak
Adjusting for indirectly measured confounding using large-scale propensity score. J. Biomed. Informatics 134 (2022)
Linying Zhang, Lauren R. Richter, Yixin Wang, Anna Ostropolets, Noemie Elhadad, David M. Blei, George Hripcsak
A Bayesian Causal Inference Approach for Assessing Fairness in Clinical Decision-Making. CoRR (2022)
Lauren R. Richter, Benjamin Albert, Linying Zhang, Ilene Fennoy, David Albers, George Hripcsak
Using Data Assimilation to Predict Post-Operative Bariatric Surgery Glycemic Status in Adolescents. AMIA (2022)
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 Latham, Patricia C. Dykes
Using EHR Data and Machine Learning Methods to Predict Fall Injury. AMIA (2022)
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
Predicting hospitalization of COVID-19 positive patients using clinician-guided machine learning methods. J. Am. Medical Informatics Assoc. 29 (10) (2022)
Wenyu Song, Min-Jeoung Kang, Linying Zhang, Wonkyung Jung, Jiyoun Song, David W. Bates, Patricia C. Dykes
Predicting pressure injury using nursing assessment phenotypes and machine learning methods. J. Am. Medical Informatics Assoc. 28 (4) (2021)
Wenyu Song, Linying Zhang, Michael Sainlaire, Mehran Karvar, Min-Jeoung Kang, Avery Pullman, Anthony F. Massaro, Namrata Patil, Ravi Jasuja, Patricia C. Dykes
Predicting Hospitalization of COVID-19 Positive Patients Using Machine Learning Methods. AMIA (2021)
Wenyu Song, Min-Jeoung Kang, Linying Zhang, Jose P. Garcia, David W. Bates, Patricia C. Dykes
Predicting Pressure Injury Using Nursing Assessment Phenotype and Machine Learning Methods. AMIA (2020)
Linying Zhang, Yixin Wang, Anna Ostropolets, Ruijun Chen, David M. Blei, George Hripcsak
The Multi-Outcome Medical Deconfounder: Assessing Treatment Effect on Multiple Renal Measures. AMIA (2020)
Ruijun Chen, Martijn J. Schuemie, Marc A. Suchard, Anna Ostropolets, Linying Zhang, Patrick B. Ryan, George Hripcsak
Evaluation of Large-scale Propensity Score Modeling and Covariate Balance on Potential Unmeasured Confounding in Observational Research. AMIA (2020)
Anna Ostropolets, Linying Zhang, George Hripcsak
A scoping review of clinical decision support tools that generate new knowledge to support decision making in real time. J. Am. Medical Informatics Assoc. 27 (12) (2020)
George Hripcsak, David M. Blei, Elias Bareinboim, Martijn J. Schuemie, Linying Zhang
Causal Inference from Observational Healthcare Data: Implications, Impacts and Innovations. AMIA (2020)
Wenyu Song, Linying Zhang, Emily Gill, Jeremiah Zhe Liu, Adam Wright
Personalized treatment for type 2 diabetes using weighted k-nearest neighbors. AMIA (2019)
Linying Zhang, Yixin Wang, Anna Ostropolets, Jami J. Mulgrave, David M. Blei, George Hripcsak
The Medical Deconfounder: Assessing Treatment Effect with Electronic Health Records (EHRs). CoRR (2019)
Anna Ostropolets, Linying Zhang, Jami Jackson Mulgrave, George Hripcsak
Investigating female-male differences in risk factors for myocardial infarction using OHDSI tools. AMIA (2019)
Linying Zhang, Yixin Wang, Anna Ostropolets, Jami J. Mulgrave, David M. Blei, George Hripcsak
The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records. MLHC (2019)
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
Evaluating Reinforcement Learning Algorithms in Observational Health Settings. CoRR (2018)
Yanrong Jiang, Nanfeng Xiao, Yufeng Zhang, Linying Zhang
A novel flexible activity refinement approach for improving workflow process flexibility. Comput. Ind. 80 (2016)