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American Journal of Infection Control
|
January 24, 2022
A comparative analysis of machine learning approaches to predict C. difficile infection in hospitalized patients
Saarang Panchavati, Nicole S Zelin, Anurag Garikipati, et al.
Healthcare Technology Letters
|
December 23, 2021
Retrospective validation of a machine learning clinical decision support tool for myocardial infarction risk stratification
Saarang Panchavati, Carson Lam, Nicole S Zelin, et al.
Frontiers in Neurology
|
February 11, 2022
Enriching the Study Population for Ischemic Stroke Therapeutic Trials Using a Machine Learning Algorithm
Jenish Maharjan, Yasha Ektefaie, Logan Ryan, et al.
Kidney International Reports
|
May 20, 2021
Convolutional Neural Network Model for Intensive Care Unit Acute Kidney Injury Prediction
Sidney Le, Angier Allen, Jacob Calvert, et al.
JMIR Formative Research
|
August 16, 2021
Semisupervised Deep Learning Techniques for Predicting Acute Respiratory Distress Syndrome From Time-Series Clinical Data: Model Development and Validation Study
Carson Lam, Chak Foon Tso, Abigail Green-Saxena, et al.
BMJ Open
|
January 29, 2018
Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU
Qingqing Mao, Melissa Jay, Jana L Hoffman, et al.
JMIR Medical Informatics
|
October 4, 2016
Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach
Thomas Desautels, Jacob Calvert, Jana Hoffman, et al.
Clinical Therapeutics
|
April 18, 2021
Machine Learning as a Precision-Medicine Approach to Prescribing COVID-19 Pharmacotherapy with Remdesivir or Corticosteroids
Carson 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 Study
Angier 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 Trial
Hoyt Burdick, Carson Lam, Samson Mataraso, et al.
Page
of 5
Search research articles
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Showing results (31-40 of 42) with videos related to
Sort By:
Page
of 5
American Journal of Infection Control
|
January 24, 2022
A comparative analysis of machine learning approaches to predict C. difficile infection in hospitalized patients
Saarang Panchavati, Nicole S Zelin, Anurag Garikipati, et al.
Healthcare Technology Letters
|
December 23, 2021
Retrospective validation of a machine learning clinical decision support tool for myocardial infarction risk stratification
Saarang Panchavati, Carson Lam, Nicole S Zelin, et al.
Frontiers in Neurology
|
February 11, 2022
Enriching the Study Population for Ischemic Stroke Therapeutic Trials Using a Machine Learning Algorithm
Jenish Maharjan, Yasha Ektefaie, Logan Ryan, et al.
Kidney International Reports
|
May 20, 2021
Convolutional Neural Network Model for Intensive Care Unit Acute Kidney Injury Prediction
Sidney Le, Angier Allen, Jacob Calvert, et al.
JMIR Formative Research
|
August 16, 2021
Semisupervised Deep Learning Techniques for Predicting Acute Respiratory Distress Syndrome From Time-Series Clinical Data: Model Development and Validation Study
Carson Lam, Chak Foon Tso, Abigail Green-Saxena, et al.
BMJ Open
|
January 29, 2018
Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU
Qingqing Mao, Melissa Jay, Jana L Hoffman, et al.
JMIR Medical Informatics
|
October 4, 2016
Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach
Thomas Desautels, Jacob Calvert, Jana Hoffman, et al.
Clinical Therapeutics
|
April 18, 2021
Machine Learning as a Precision-Medicine Approach to Prescribing COVID-19 Pharmacotherapy with Remdesivir or Corticosteroids
Carson 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 Study
Angier 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 Trial
Hoyt Burdick, Carson Lam, Samson Mataraso, et al.
Page
of 5