This paper is in the following e-collection/theme issue:

Machine Learning (960) Clinical Information and Decision Making (861) Pediatrics (112) Decision Support for Health Professionals (701) Safety and Error Prevention in Health (157) Secondary Use of Clinical Data for Research and Surveillance (248)

Published on in Vol 5 , No 4 (2017) :Oct-Dec

Predicting Unplanned Transfers to the Intensive Care Unit: A Machine Learning Approach Leveraging Diverse Clinical Elements

Predicting Unplanned Transfers to the Intensive Care Unit: A Machine Learning Approach Leveraging Diverse Clinical Elements

Predicting Unplanned Transfers to the Intensive Care Unit: A Machine Learning Approach Leveraging Diverse Clinical Elements

Authors of this article:

Ben Wellner 1 Author Orcid Image ;   Joan Grand 1 Author Orcid Image ;   Elizabeth Canzone 1 Author Orcid Image ;   Matt Coarr 1 Author Orcid Image ;   Patrick W Brady 2 Author Orcid Image ;   Jeffrey Simmons 2 Author Orcid Image ;   Eric Kirkendall 2 Author Orcid Image ;   Nathan Dean 3 Author Orcid Image ;   Monica Kleinman 4 Author Orcid Image ;   Peter Sylvester 1 Author Orcid Image
Article Authors Cited by (31) Tweetations (14) Metrics
Ben Wellner 1 , MSc, PhD ;   Joan Grand 1 , RN ;   Elizabeth Canzone 1 , PhD ;   Matt Coarr 1 , M Sc ;   Patrick W Brady 2 , MSc, MD ;   Jeffrey Simmons 2 , MSc, MD ;   Eric Kirkendall 2 , MBI, MD, FAAP ;   Nathan Dean 3 , MD ;   Monica Kleinman 4 , MD ;   Peter Sylvester 1 , BS

1 The MITRE Corporation , Bedford , MA , US

2 Cincinnati Children's Hospital , Cincinnati , OH , US

3 Children's National Health System , Washington , DC , US

4 Center on Media and Child Health , Boston Children's Hospital , Boston , MA , US

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