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Corey Chivers

Showing results (11-20 of 26) with videos related to

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Medrxiv : the Preprint Server for Health Sciences|March 9, 2022
Performance Drift in a Mortality Prediction Algorithm during the SARS-CoV-2 PandemicRavi B Parikh, Yichen Zhang, Corey Chivers, et al.
Plos One|June 3, 2021
Application of machine learning approaches to administrative claims data to predict clinical outcomes in medical and surgical patient populationsEmily J MacKay, Michael D Stubna, Corey Chivers, et al.
Journal of Medical Internet Research|December 3, 2020
Patient Interaction Phenotypes With an Automated Remote Hypertension Monitoring Program and Their Association With Blood Pressure Control: Observational StudyAnahita Davoudi, Natalie S Lee, Corey Chivers, et al.
JAMA Network Open|October 26, 2019
Trends and Focus of Machine Learning Applications for Health ResearchBrett Beaulieu-Jones, Samuel G Finlayson, Corey Chivers, et al.
JCO Clinical Cancer Informatics|December 8, 2022
Development of Machine Learning Algorithms Incorporating Electronic Health Record Data, Patient-Reported Outcomes, or Both to Predict Mortality for Outpatients With CancerRavi B Parikh, Jill S Hasler, Yichen Zhang, et al.
Plos One|May 27, 2022
Oncologist phenotypes and associations with response to a machine learning-based intervention to increase advance care planning: Secondary analysis of a randomized clinical trialEric Li, Christopher Manz, Manqing Liu, et al.
JAMA Network Open|October 26, 2019
Machine Learning Approaches to Predict 6-Month Mortality Among Patients With CancerRavi B Parikh, Christopher Manz, Corey Chivers, et al.
Plos One|September 21, 2011
Economic impacts of non-native forest insects in the continental United StatesJuliann E Aukema, Brian Leung, Kent Kovacs, et al.
Contemporary Clinical Trials|January 27, 2020
Integrating machine-generated mortality estimates and behavioral nudges to promote serious illness conversations for cancer patients: Design and methods for a stepped-wedge cluster randomized controlled trialChristopher R Manz, Ravi B Parikh, Chalanda N Evans, et al.
Critical Care Medicine|August 8, 2019
A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical PracticeHeather M Giannini, Jennifer C Ginestra, Corey Chivers, et al.
Pageof 3

Showing results (11-20 of 26) with videos related to

Sort By:
Pageof 3
Medrxiv : the Preprint Server for Health Sciences|March 9, 2022
Performance Drift in a Mortality Prediction Algorithm during the SARS-CoV-2 PandemicRavi B Parikh, Yichen Zhang, Corey Chivers, et al.
Plos One|June 3, 2021
Application of machine learning approaches to administrative claims data to predict clinical outcomes in medical and surgical patient populationsEmily J MacKay, Michael D Stubna, Corey Chivers, et al.
Journal of Medical Internet Research|December 3, 2020
Patient Interaction Phenotypes With an Automated Remote Hypertension Monitoring Program and Their Association With Blood Pressure Control: Observational StudyAnahita Davoudi, Natalie S Lee, Corey Chivers, et al.
JAMA Network Open|October 26, 2019
Trends and Focus of Machine Learning Applications for Health ResearchBrett Beaulieu-Jones, Samuel G Finlayson, Corey Chivers, et al.
JCO Clinical Cancer Informatics|December 8, 2022
Development of Machine Learning Algorithms Incorporating Electronic Health Record Data, Patient-Reported Outcomes, or Both to Predict Mortality for Outpatients With CancerRavi B Parikh, Jill S Hasler, Yichen Zhang, et al.
Plos One|May 27, 2022
Oncologist phenotypes and associations with response to a machine learning-based intervention to increase advance care planning: Secondary analysis of a randomized clinical trialEric Li, Christopher Manz, Manqing Liu, et al.
JAMA Network Open|October 26, 2019
Machine Learning Approaches to Predict 6-Month Mortality Among Patients With CancerRavi B Parikh, Christopher Manz, Corey Chivers, et al.
Plos One|September 21, 2011
Economic impacts of non-native forest insects in the continental United StatesJuliann E Aukema, Brian Leung, Kent Kovacs, et al.
Contemporary Clinical Trials|January 27, 2020
Integrating machine-generated mortality estimates and behavioral nudges to promote serious illness conversations for cancer patients: Design and methods for a stepped-wedge cluster randomized controlled trialChristopher R Manz, Ravi B Parikh, Chalanda N Evans, et al.
Critical Care Medicine|August 8, 2019
A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical PracticeHeather M Giannini, Jennifer C Ginestra, Corey Chivers, et al.
Pageof 3