An evaluation of clinical order patterns machine-learned from clinician cohorts stratified by patient mortality outcomes. - Jason K. Wang; Jason Hom; Santhosh Balasubramanian; Alejandro Schuler; Nigam H. Shah; Mary K. Goldstein; Michael T. M. Baiocchi; Jonathan H. Chen (J. Biomed. Informatics, 2018)

OrderRex clinical user testing: a randomized trial of recommender system decision support on simulated cases. - Andre Kumar; Rachael C. Aikens; Jason Hom; Lisa Shieh; Jonathan Chiang; David Morales; Divya Saini; Mark A. Musen; Michael T. M. Baiocchi; Russ B. Altman; Mary K. Goldstein; Steven M. Asch; et al. (J. Am. Medical Informatics Assoc., 2020)

Randomized user testing of recommender system clinical decision support. - Andre Kumar; Rachael C. Aikens; Jason Horn; Lisa Shieh; Mark A. Musen; Michael T. M. Baiocchi; Russ B. Altman; Mary K. Goldstein; Steven M. Asch; Jonathan H. Chen (AMIA, 2021)

Integrating Evaluations of Predictive Algorithm-Driven Interventions into Clinical Workflows with the Dynamic Discontinuity Deployment Design. - Ben J. Marafino; Alejandro Schuler; Vincent X. Liu; Art B. Owen; Gabriel J. Escobar; Michael T. M. Baiocchi (AMIA, 2021)

Predicting Level of Care for Emergency Hospital Admissions to Optimize Triage. - Minh Nguyen; Nicolai P. Ostberg; Conor K. Corbin; Tiffany Eulalio; Gautam Machiraju; Ben J. Marafino; Michael T. M. Baiocchi; Christian Rose; Jonathan H. Chen (AMIA, 2021)

Developing machine learning models to personalize care levels among emergency room patients for hospital admission. - Minh Nguyen; Conor K. Corbin; Tiffany Eulalio; Nicolai P. Ostberg; Gautam Machiraju; Ben J. Marafino; Michael T. M. Baiocchi; Christian Rose; Jonathan H. Chen (J. Am. Medical Informatics Assoc., 2021)

Machine learning for initial insulin estimation in hospitalized patients. - Minh Nguyen; Ivana Jankovic; Laurynas Kalesinskas; Michael T. M. Baiocchi; Jonathan H. Chen (J. Am. Medical Informatics Assoc., 2021)

stratamatch: Prognostic Score Stratification Using a Pilot Design. - Rachael C. Aikens; Joseph Rigdon; Justin Lee; Michael T. M. Baiocchi; Andrew B. Goldstone; Peter Chiu; Y. Joseph Woo; Jonathan H. Chen (R J., 2021)

How to Avoid Incorrect Clinical Machine Learning Model Performance Estimates When Class Labels Are Only Partially Observed. - Conor K. Corbin; Michael T. M. Baiocchi; Jonathan H. Chen (AMIA, 2022)

Avoiding Biased Clinical Machine Learning Model Performance Estimates in the Presence of Label Selection. - Conor K. Corbin; Michael T. M. Baiocchi; Jonathan H. Chen (CoRR, 2022)

Establishing best practices in large language model research: an application to repeat prompting. - Robert Gallo; Michael T. M. Baiocchi; Thomas Savage; Jonathan H. Chen (J. Am. Medical Informatics Assoc., 2025)

Monitoring strategies for continuous evaluation of deployed clinical prediction models. - Grace Y. E. Kim; Conor K. Corbin; François Grolleau; Michael T. M. Baiocchi; Jonathan H. Chen (J. Biomed. Informatics, 2025)