Michael T. M. Baiocchi

According to our database, Michael T. M. Baiocchi authored at least 11 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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

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

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

Proceedings of the AMIA 2022, 2022

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

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

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

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

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 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

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

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

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

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, Jonathan H. Chen

J. Am. Medical Informatics Assoc., 2020

2018

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