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American Journal of Respiratory and Critical Care Medicine
|
July 29, 2014
Gleaning knowledge from data in the intensive care unit
Michael R Pinsky, Artur Dubrawski
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
November 13, 2008
Learning detectors of events in multivariate time series
Josep Roure, Artur Dubrawski, Jeff Schneider
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
March 21, 2022
Using Machine Learning to Support Transfer of Best Practices in Healthcare
Sebastian Caldas, Jieshi Chen, Artur Dubrawski
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
March 21, 2022
Weak Supervision for Affordable Modeling of Electrocardiogram Data
Mononito Goswami, Benedikt Boecking, Artur Dubrawski
IEEE Journal of Biomedical and Health Informatics
|
January 18, 2021
Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data With Competing Risks
Chirag Nagpal, Xinyu Li, Artur Dubrawski
Plos One
|
February 24, 2022
Forecasting emergence of COVID-19 variants of concern
James Kyle Miller, Kimberly Elenberg, Artur Dubrawski
Sensors (Basel, Switzerland)
|
February 26, 2022
Intelligent Clinical Decision Support
Michael R Pinsky, Artur Dubrawski, Gilles Clermont
Sensors (Basel, Switzerland)
|
February 15, 2022
Automated Assessment of Cardiovascular Sufficiency Using Non-Invasive Physiological Data
Xinyu Li, Michael R Pinsky, Artur Dubrawski
Proceedings of Machine Learning Research
|
November 21, 2022
Dynamically Personalized Detection of Hemorrhage
Chirag Nagpal, Xinyu Li, Michael R Pinsky, et al.
Anesthesia and Analgesia
|
April 15, 2020
Parsimony of Hemodynamic Monitoring Data Sufficient for the Detection of Hemorrhage
Michael R Pinsky, Anthony Wertz, Gilles Clermont, et al.
Page
of 4
Search research articles
Search
Showing results (1-10 of 40) with videos related to
Sort By:
Page
of 4
American Journal of Respiratory and Critical Care Medicine
|
July 29, 2014
Gleaning knowledge from data in the intensive care unit
Michael R Pinsky, Artur Dubrawski
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
November 13, 2008
Learning detectors of events in multivariate time series
Josep Roure, Artur Dubrawski, Jeff Schneider
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
March 21, 2022
Using Machine Learning to Support Transfer of Best Practices in Healthcare
Sebastian Caldas, Jieshi Chen, Artur Dubrawski
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
March 21, 2022
Weak Supervision for Affordable Modeling of Electrocardiogram Data
Mononito Goswami, Benedikt Boecking, Artur Dubrawski
IEEE Journal of Biomedical and Health Informatics
|
January 18, 2021
Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data With Competing Risks
Chirag Nagpal, Xinyu Li, Artur Dubrawski
Plos One
|
February 24, 2022
Forecasting emergence of COVID-19 variants of concern
James Kyle Miller, Kimberly Elenberg, Artur Dubrawski
Sensors (Basel, Switzerland)
|
February 26, 2022
Intelligent Clinical Decision Support
Michael R Pinsky, Artur Dubrawski, Gilles Clermont
Sensors (Basel, Switzerland)
|
February 15, 2022
Automated Assessment of Cardiovascular Sufficiency Using Non-Invasive Physiological Data
Xinyu Li, Michael R Pinsky, Artur Dubrawski
Proceedings of Machine Learning Research
|
November 21, 2022
Dynamically Personalized Detection of Hemorrhage
Chirag Nagpal, Xinyu Li, Michael R Pinsky, et al.
Anesthesia and Analgesia
|
April 15, 2020
Parsimony of Hemodynamic Monitoring Data Sufficient for the Detection of Hemorrhage
Michael R Pinsky, Anthony Wertz, Gilles Clermont, et al.
Page
of 4