Prospective and external evaluation of a machine learning model to predict in-hospital mortality of adults at time of admission N Brajer, B Cozzi, M Gao, M Nichols, M Revoir, S Balu, J Futoma, J Bae, ... JAMA network open 3 (2), e1920733-e1920733, 2020 | 109 | 2020 |
Interpretable machine learning models for clinical decision-making in a high-need, value-based primary care setting S Bhatt, A Cohon, J Rose, N Majerczyk, B Cozzi, D Crenshaw, G Myers NEJM Catalyst Innovations in Care Delivery 2 (4), 2021 | 14 | 2021 |
Prospective and External Evaluation of a Machine Learning Model to Predict In-Hospital Mortality of Adults at Time of Admission. JAMA Netw Open. 2020; 3 (2): e1920733 N Brajer, B Cozzi, M Gao, M Nichols, M Revoir, S Balu | 8 | 2019 |
Primary Care Visit Cadence Based on Risk: A Comparison of Machine Learning and Provider Judgment S Bhatt, N Majerczyk, J Rose, A Cohon, B Cozzi, D Crenshaw, A Kreig, ... NEJM Catalyst Innovations in Care Delivery 3 (4), CAT. 21.0322, 2022 | | 2022 |
Prospective and External Evaluation of a Machine Learning Model to Predict In-Hospital Mortality N Brajer, B Cozzi, M Gao, M Nichols, M Revoir, S Balu, J Futoma, J Bae, ... medRxiv, 19000133, 2019 | | 2019 |
Leveraging Machine Learning to Decrease In-Hospital Mortality Rates N Brajer, B Cozzi, M Gao, M Nichols, M Revoir, S Balu, K Whalen, ... | | |