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David Sontag

Showing results (21-30 of 40) with videos related to

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Big Data|July 22, 2016
Population-Level Prediction of Type 2 Diabetes From Claims Data and Analysis of Risk FactorsNarges Razavian, Saul Blecker, Ann Marie Schmidt, et al.
Nature Medicine|January 9, 2019
Guidelines for reinforcement learning in healthcareOmer Gottesman, Fredrik Johansson, Matthieu Komorowski, et al.
Annals of Hepatology|February 2, 2020
The effects of hyperthermia on human hepatocellular carcinoma stem and mature cancer cellsDavid Sontag, David A Miles, Julia Uhanova, et al.
JAMA Cardiology|October 6, 2016
Comparison of Approaches for Heart Failure Case Identification From Electronic Health Record DataSaul Blecker, Stuart D Katz, Leora I Horwitz, et al.
Journal of Cardiac Failure|September 10, 2017
Early Identification of Patients With Acute Decompensated Heart FailureSaul Blecker, David Sontag, Leora I Horwitz, et al.
Health Affairs (Project Hope)|February 7, 2022
The Potential For Bias In Machine Learning And Opportunities For Health Insurers To Address ItStephanie S Gervasi, Irene Y Chen, Aaron Smith-McLallen, et al.
NPJ Digital Medicine|July 6, 2026
Large language models are powerful electronic health record encodersStefan Hegselmann, Georg von Arnim, Tillmann Rheude, et al.
Journal of the American Medical Informatics Association : JAMIA|May 3, 2024
Machine learning to predict notes for chart review in the oncology setting: a proof of concept strategy for improving clinician note-writingSharon Jiang, Barbara D Lam, Monica Agrawal, et al.
JAMA Network Open|January 31, 2025
Use of Machine Learning to Assess the Management of Uncomplicated Urinary Tract InfectionNoah Jones, Ming-Chieh Shih, Elizabeth Healey, et al.
Medrxiv : the Preprint Server for Health Sciences|September 4, 2024
Reassessing the management of uncomplicated urinary tract infection: A retrospective analysis using machine learning causal inferenceNoah C Jones, Ming-Chieh Shih, Elizabeth Healey, et al.
Pageof 4

Showing results (21-30 of 40) with videos related to

Sort By:
Pageof 4
Big Data|July 22, 2016
Population-Level Prediction of Type 2 Diabetes From Claims Data and Analysis of Risk FactorsNarges Razavian, Saul Blecker, Ann Marie Schmidt, et al.
Nature Medicine|January 9, 2019
Guidelines for reinforcement learning in healthcareOmer Gottesman, Fredrik Johansson, Matthieu Komorowski, et al.
Annals of Hepatology|February 2, 2020
The effects of hyperthermia on human hepatocellular carcinoma stem and mature cancer cellsDavid Sontag, David A Miles, Julia Uhanova, et al.
JAMA Cardiology|October 6, 2016
Comparison of Approaches for Heart Failure Case Identification From Electronic Health Record DataSaul Blecker, Stuart D Katz, Leora I Horwitz, et al.
Journal of Cardiac Failure|September 10, 2017
Early Identification of Patients With Acute Decompensated Heart FailureSaul Blecker, David Sontag, Leora I Horwitz, et al.
Health Affairs (Project Hope)|February 7, 2022
The Potential For Bias In Machine Learning And Opportunities For Health Insurers To Address ItStephanie S Gervasi, Irene Y Chen, Aaron Smith-McLallen, et al.
NPJ Digital Medicine|July 6, 2026
Large language models are powerful electronic health record encodersStefan Hegselmann, Georg von Arnim, Tillmann Rheude, et al.
Journal of the American Medical Informatics Association : JAMIA|May 3, 2024
Machine learning to predict notes for chart review in the oncology setting: a proof of concept strategy for improving clinician note-writingSharon Jiang, Barbara D Lam, Monica Agrawal, et al.
JAMA Network Open|January 31, 2025
Use of Machine Learning to Assess the Management of Uncomplicated Urinary Tract InfectionNoah Jones, Ming-Chieh Shih, Elizabeth Healey, et al.
Medrxiv : the Preprint Server for Health Sciences|September 4, 2024
Reassessing the management of uncomplicated urinary tract infection: A retrospective analysis using machine learning causal inferenceNoah C Jones, Ming-Chieh Shih, Elizabeth Healey, et al.
Pageof 4