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Journal of Biomedical Informatics|June 26, 2024
Assessing racial bias in healthcare predictive models: Practical lessons from an empirical evaluation of 30-day hospital readmission modelsH Echo Wang, Jonathan P Weiner, Suchi Saria, et al.Health Affairs (Project Hope)|July 10, 2014
Big data in health care: using analytics to identify and manage high-risk and high-cost patientsDavid W Bates, Suchi Saria, Lucila Ohno-Machado, et al.American Journal of Lifestyle Medicine|June 2, 2020
An Individualized, Data-Driven Digital Approach for Precision Behavior ChangeShannon Wongvibulsin, Seth S Martin, Suchi Saria, et al.AMIA ... Annual Symposium Proceedings. AMIA Symposium|February 25, 2011
Combining Structured and Free-text Data for Automatic Coding of Patient OutcomesSuchi Saria, Gayle McElvain, Anand K Rajani, et al.Critical Care Explorations|March 14, 2020
Comparison of Automated Sepsis Identification Methods and Electronic Health Record-based Sepsis Phenotyping: Improving Case Identification Accuracy by Accounting for Confounding Comorbid ConditionsKatharine E Henry, David N Hager, Tiffany M Osborn, et al.Critical Care Medicine|June 5, 2019
Comparison of Automated Activity Recognition to Provider Observations of Patient Mobility in the ICUNishi Rawat, Vishal Rao, Michael Peven, et al.NPJ Digital Medicine|May 29, 2026
Detecting dataset bias in medical AI using a generalized and modality agnostic auditing approachNathan Drenkow, Mitchell Pavlak, Keith Harrigian, et al.Health Education & Behavior : the Official Publication of the Society for Public Health Education|October 8, 2014
Dissecting an online intervention for cancer survivors: four exploratory analyses of internet engagement and its effects on health status and health behaviorsZhenghao Chen, Pang Wei Koh, Philip L Ritter, et al.European Journal of Clinical Investigation|February 21, 2024
Large language models for science and medicineAmalio Telenti, Michael Auli, Brian L Hie, et al.Journal of the Society for Cardiovascular Angiography & Interventions|August 12, 2024
Using Machine Learning for Early Prediction of Cardiogenic Shock in Patients With Acute Heart FailureFaisal Rahman, Noam Finkelstein, Anton Alyakin, et al.Pageof 7