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2020 – today
- 2022
[j5]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): 1661-1667 (2022)- [j4]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: 104204 (2022) - [i3]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 abs/2211.11183 (2022) - 2021
- [j3]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): 759-765 (2021) - 2020
- [j2]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): 1968-1976 (2020) - [c7]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 - [c6]George Hripcsak, David M. Blei, Elias Bareinboim, Martijn J. Schuemie, Linying Zhang:
Causal Inference from Observational Healthcare Data: Implications, Impacts and Innovations. AMIA 2020 - [c5]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 - [c4]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
2010 – 2019
- 2019
- [c3]Anna Ostropolets, Linying Zhang, Jami Jackson Mulgrave, George Hripcsak:
Investigating female-male differences in risk factors for myocardial infarction using OHDSI tools. AMIA 2019 - [c2]Wenyu Song, Linying Zhang, Emily Gill, Jeremiah Zhe Liu, Adam Wright:
Personalized treatment for type 2 diabetes using weighted k-nearest neighbors. AMIA 2019 - [c1]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: 490-512 - [i2]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 abs/1904.02098 (2019) - 2018
- [i1]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 abs/1805.12298 (2018) - 2016
- [j1]Yanrong Jiang, Nanfeng Xiao, Yufeng Zhang, Linying Zhang:
A novel flexible activity refinement approach for improving workflow process flexibility. Comput. Ind. 80: 1-15 (2016)
Coauthor Index
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