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Hoyt Burdick

Showing results (1-10 of 7) with videos related to

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The West Virginia Medical Journal|January 26, 2018
The State Innovation Model (SIM) Plan: A Practical Guide for PractitionersJoshua L Austin, Hoyt Burdick, Sarah Chouinard, et al.
BMC Medical Informatics and Decision Making|October 28, 2020
Validation of a machine learning algorithm for early severe sepsis prediction: a retrospective study predicting severe sepsis up to 48 h in advance using a diverse dataset from 461 US hospitalsHoyt Burdick, Eduardo Pino, Denise Gabel-Comeau, et al.
BMJ Health & Care Informatics|May 2, 2020
Effect of a sepsis prediction algorithm on patient mortality, length of stay and readmission: a prospective multicentre clinical outcomes evaluation of real-world patient data from US hospitalsHoyt Burdick, Eduardo Pino, Denise Gabel-Comeau, et al.
Clinical Therapeutics|April 18, 2021
Machine Learning as a Precision-Medicine Approach to Prescribing COVID-19 Pharmacotherapy with Remdesivir or CorticosteroidsCarson Lam, Anna Siefkas, Nicole S Zelin, et al.
JMIR Public Health and Surveillance|October 22, 2020
A Racially Unbiased, Machine Learning Approach to Prediction of Mortality: Algorithm Development StudyAngier Allen, Samson Mataraso, Anna Siefkas, et al.
Journal of Clinical Medicine|December 1, 2020
Is Machine Learning a Better Way to Identify COVID-19 Patients Who Might Benefit from Hydroxychloroquine Treatment?-The IDENTIFY TrialHoyt Burdick, Carson Lam, Samson Mataraso, et al.
Computers in Biology and Medicine|August 18, 2020
Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trialHoyt Burdick, Carson Lam, Samson Mataraso, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
The West Virginia Medical Journal|January 26, 2018
The State Innovation Model (SIM) Plan: A Practical Guide for PractitionersJoshua L Austin, Hoyt Burdick, Sarah Chouinard, et al.
BMC Medical Informatics and Decision Making|October 28, 2020
Validation of a machine learning algorithm for early severe sepsis prediction: a retrospective study predicting severe sepsis up to 48 h in advance using a diverse dataset from 461 US hospitalsHoyt Burdick, Eduardo Pino, Denise Gabel-Comeau, et al.
BMJ Health & Care Informatics|May 2, 2020
Effect of a sepsis prediction algorithm on patient mortality, length of stay and readmission: a prospective multicentre clinical outcomes evaluation of real-world patient data from US hospitalsHoyt Burdick, Eduardo Pino, Denise Gabel-Comeau, et al.
Clinical Therapeutics|April 18, 2021
Machine Learning as a Precision-Medicine Approach to Prescribing COVID-19 Pharmacotherapy with Remdesivir or CorticosteroidsCarson Lam, Anna Siefkas, Nicole S Zelin, et al.
JMIR Public Health and Surveillance|October 22, 2020
A Racially Unbiased, Machine Learning Approach to Prediction of Mortality: Algorithm Development StudyAngier Allen, Samson Mataraso, Anna Siefkas, et al.
Journal of Clinical Medicine|December 1, 2020
Is Machine Learning a Better Way to Identify COVID-19 Patients Who Might Benefit from Hydroxychloroquine Treatment?-The IDENTIFY TrialHoyt Burdick, Carson Lam, Samson Mataraso, et al.
Computers in Biology and Medicine|August 18, 2020
Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trialHoyt Burdick, Carson Lam, Samson Mataraso, et al.
Pageof 1