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Thomas A Lasko

Showing results (11-20 of 56) 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.
Journal of Biomedical Informatics|October 4, 2005
The use of receiver operating characteristic curves in biomedical informaticsThomas A Lasko, Jui G Bhagwat, Kelly H Zou, et al.
Journal of the American Medical Informatics Association : JAMIA|December 5, 2020
SynTEG: a framework for temporal structured electronic health data simulationZiqi Zhang, Chao Yan, Thomas A Lasko, et al.
Journal of Biomedical Informatics|September 20, 2015
A study of active learning methods for named entity recognition in clinical textYukun Chen, Thomas A Lasko, Qiaozhu Mei, et al.
Journal of the American Medical Informatics Association : JAMIA|October 14, 2005
Automated identification of a physician's primary patientsThomas A Lasko, Steven J Atlas, Michael J Barry, et al.
Journal of Medical Systems|May 31, 2018
A System for Automated Determination of Perioperative Patient AcuityLinda Zhang, Daniel Fabbri, Thomas A Lasko, et al.
Journal of the American Medical Informatics Association : JAMIA|April 6, 2017
Calibration drift in regression and machine learning models for acute kidney injurySharon E Davis, Thomas A Lasko, Guanhua Chen, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|April 21, 2020
Comparison of Prediction Model Performance Updating Protocols: Using a Data-Driven Testing Procedure to Guide UpdatingSharon E Davis, Robert A Greevy, Thomas A Lasko, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 9, 2015
Machine learning for risk prediction of acute coronary syndromeJacob P VanHouten, John M Starmer, Nancy M Lorenzi, et al.
Journal of Biomedical Informatics|November 6, 2020
Detection of calibration drift in clinical prediction models to inform model updatingSharon E Davis, Robert A Greevy, Thomas A Lasko, et al.
Pageof 6

Showing results (11-20 of 56) with videos related to

Sort By:
Pageof 6
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.
Journal of Biomedical Informatics|October 4, 2005
The use of receiver operating characteristic curves in biomedical informaticsThomas A Lasko, Jui G Bhagwat, Kelly H Zou, et al.
Journal of the American Medical Informatics Association : JAMIA|December 5, 2020
SynTEG: a framework for temporal structured electronic health data simulationZiqi Zhang, Chao Yan, Thomas A Lasko, et al.
Journal of Biomedical Informatics|September 20, 2015
A study of active learning methods for named entity recognition in clinical textYukun Chen, Thomas A Lasko, Qiaozhu Mei, et al.
Journal of the American Medical Informatics Association : JAMIA|October 14, 2005
Automated identification of a physician's primary patientsThomas A Lasko, Steven J Atlas, Michael J Barry, et al.
Journal of Medical Systems|May 31, 2018
A System for Automated Determination of Perioperative Patient AcuityLinda Zhang, Daniel Fabbri, Thomas A Lasko, et al.
Journal of the American Medical Informatics Association : JAMIA|April 6, 2017
Calibration drift in regression and machine learning models for acute kidney injurySharon E Davis, Thomas A Lasko, Guanhua Chen, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|April 21, 2020
Comparison of Prediction Model Performance Updating Protocols: Using a Data-Driven Testing Procedure to Guide UpdatingSharon E Davis, Robert A Greevy, Thomas A Lasko, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 9, 2015
Machine learning for risk prediction of acute coronary syndromeJacob P VanHouten, John M Starmer, Nancy M Lorenzi, et al.
Journal of Biomedical Informatics|November 6, 2020
Detection of calibration drift in clinical prediction models to inform model updatingSharon E Davis, Robert A Greevy, Thomas A Lasko, et al.
Pageof 6