Michael Baiocchi

According to our database, Michael Baiocchi authored at least 6 papers between 2021 and 2022.

Collaborative distances:

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

2022

Avoiding Biased Clinical Machine Learning Model Performance Estimates in the Presence of Label Selection.

Conor K. Corbin, Michael 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 Baiocchi, Jonathan H. Chen

Proceedings of the AMIA 2022, 2022

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 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 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 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 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