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NPJ Digital Medicine|November 21, 2024
A data-driven framework for identifying patient subgroups on which an AI/machine learning model may underperformAdarsh Subbaswamy, Berkman Sahiner, Nicholas Petrick, et al.Journal of the American Medical Informatics Association : JAMIA|May 17, 2022
A bias evaluation checklist for predictive models and its pilot application for 30-day hospital readmission modelsH Echo Wang, Matthew Landers, Roy Adams, et al.AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 10, 2016
Learning a Severity Score for Sepsis: A Novel Approach based on Clinical ComparisonsKirill Dyagilev, Suchi SariaAMIA ... Annual Symposium Proceedings. AMIA Symposium|March 10, 2016
A Probabilistic Graphical Model for Individualizing Prognosis in Chronic, Complex DiseasesPeter Schulam, Suchi SariaIEEE Transactions on Pattern Analysis and Machine Intelligence|August 26, 2017
Scalable Joint Models for Reliable Uncertainty-Aware Event PredictionHossein Soleimani, James Hensman, Suchi SariaPlos Medicine|January 1, 2019
Better medicine through machine learning: What's real, and what's artificial?Suchi Saria, Atul Butte, Aziz SheikhJournal of Healthcare Engineering|May 11, 2018
An Evolutionary Computation Approach for Optimizing Multilevel Data to Predict Patient OutcomesSean Barnes, Suchi Saria, Scott LevinDigital Biomarkers|October 27, 2021
Digital Endpoints: Definition, Benefits, and Current Barriers in Accelerating Development and AdoptionMatthew Landers, Ray Dorsey, Suchi SariaJournal of Parkinson'S Disease|July 5, 2021
Will Artificial Intelligence Replace the Movement Disorders Specialist for Diagnosing and Managing Parkinson's Disease?Matt Landers, Suchi Saria, Alberto J EspayAMIA ... Annual Symposium Proceedings. AMIA Symposium|February 20, 2014
Developing predictive models using electronic medical records: challenges and pitfallsChris Paxton, Alexandru Niculescu-Mizil, Suchi SariaPageof 7