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Michael E Matheny

Showing results (21-30 of 250) with videos related to

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AMIA ... Annual Symposium Proceedings. AMIA Symposium|June 2, 2018
Calibration Drift Among Regression and Machine Learning Models for Hospital MortalitySharon E Davis, Thomas A Lasko, Guanhua Chen, et al.
Medrxiv : the Preprint Server for Health Sciences|February 14, 2024
Use of Noisy Labels as Weak Learners to Identify Incompletely Ascertainable Outcomes: A Feasibility Study with Opioid-Induced Respiratory DepressionAlvin D Jeffery, Daniel Fabbri, Ruth M Reeves, et al.
Heliyon|March 6, 2024
Use of noisy labels as weak learners to identify incompletely ascertainable outcomes: A Feasibility study with opioid-induced respiratory depressionAlvin D Jeffery, Daniel Fabbri, Ruth M Reeves, et al.
Journal of Biomedical Informatics|June 30, 2007
Effects of SVM parameter optimization on discrimination and calibration for post-procedural PCI mortalityMichael E Matheny, Frederic S Resnic, Nipun Arora, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|August 13, 2008
Rare adverse event monitoring of medical devices with the use of an automated surveillance toolMichael E Matheny, Nipun Arora, Lucila Ohno-Machado, et al.
Contemporary Clinical Trials|March 2, 2011
An evaluation of a distributed medical device safety surveillance system: the DELTA network studyVenkatesan D Vidi, Michael E Matheny, Sharon Donnelly, et al.
Journal of the American Medical Informatics Association : JAMIA|March 13, 2025
Emerging algorithmic bias: fairness drift as the next dimension of model maintenance and sustainabilitySharon E Davis, Chad Dorn, Daniel J Park, et al.
Journal of the American Medical Informatics Association : JAMIA|September 5, 2023
A framework for understanding label leakage in machine learning for health careSharon E Davis, Michael E Matheny, Suresh Balu, et al.
Frontiers in Drug Safety and Regulation|September 22, 2025
Integrating electronic health records with other data sources for postmarket drug safety signal identification: a reviewJulie V Kim, Sharon E Davis, Michael E Matheny, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|June 17, 2006
Evaluating the discriminatory power of a computer-based system for assessing penetrating trauma on retrospective multi-center dataMichael E Matheny, Omolola I Ogunyemi, Phillip L Rice, et al.
Pageof 25

Showing results (21-30 of 250) with videos related to

Sort By:
Pageof 25
AMIA ... Annual Symposium Proceedings. AMIA Symposium|June 2, 2018
Calibration Drift Among Regression and Machine Learning Models for Hospital MortalitySharon E Davis, Thomas A Lasko, Guanhua Chen, et al.
Medrxiv : the Preprint Server for Health Sciences|February 14, 2024
Use of Noisy Labels as Weak Learners to Identify Incompletely Ascertainable Outcomes: A Feasibility Study with Opioid-Induced Respiratory DepressionAlvin D Jeffery, Daniel Fabbri, Ruth M Reeves, et al.
Heliyon|March 6, 2024
Use of noisy labels as weak learners to identify incompletely ascertainable outcomes: A Feasibility study with opioid-induced respiratory depressionAlvin D Jeffery, Daniel Fabbri, Ruth M Reeves, et al.
Journal of Biomedical Informatics|June 30, 2007
Effects of SVM parameter optimization on discrimination and calibration for post-procedural PCI mortalityMichael E Matheny, Frederic S Resnic, Nipun Arora, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|August 13, 2008
Rare adverse event monitoring of medical devices with the use of an automated surveillance toolMichael E Matheny, Nipun Arora, Lucila Ohno-Machado, et al.
Contemporary Clinical Trials|March 2, 2011
An evaluation of a distributed medical device safety surveillance system: the DELTA network studyVenkatesan D Vidi, Michael E Matheny, Sharon Donnelly, et al.
Journal of the American Medical Informatics Association : JAMIA|March 13, 2025
Emerging algorithmic bias: fairness drift as the next dimension of model maintenance and sustainabilitySharon E Davis, Chad Dorn, Daniel J Park, et al.
Journal of the American Medical Informatics Association : JAMIA|September 5, 2023
A framework for understanding label leakage in machine learning for health careSharon E Davis, Michael E Matheny, Suresh Balu, et al.
Frontiers in Drug Safety and Regulation|September 22, 2025
Integrating electronic health records with other data sources for postmarket drug safety signal identification: a reviewJulie V Kim, Sharon E Davis, Michael E Matheny, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|June 17, 2006
Evaluating the discriminatory power of a computer-based system for assessing penetrating trauma on retrospective multi-center dataMichael E Matheny, Omolola I Ogunyemi, Phillip L Rice, et al.
Pageof 25