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

Machine Learning (1501) Clinical Information and Decision Making (1434) Pediatrics (205) Decision Support for Health Professionals (1210) Safety and Error Prevention in Health (206) Secondary Use of Clinical Data for Research and Surveillance (375)

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 Wellner1 Author Orcid Image ;   Joan Grand1 Author Orcid Image ;   Elizabeth Canzone1 Author Orcid Image ;   Matt Coarr1 Author Orcid Image ;   Patrick W Brady2 Author Orcid Image ;   Jeffrey Simmons2 Author Orcid Image ;   Eric Kirkendall2 Author Orcid Image ;   Nathan Dean3 Author Orcid Image ;   Monica Kleinman4 Author Orcid Image ;   Peter Sylvester1 Author Orcid Image
Article Authors Cited by (58) 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, United States

2 Cincinnati Children's Hospital, Cincinnati, OH, United States

3 Children's National Health System, Washington, DC, United States

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

Corresponding Author:

  • Ben Wellner, MSc, PhD
  • The MITRE Corporation
  • 202 Burlington Rd
  • Bedford, MA, 01730
  • United States
  • Phone: 1 781 271 7191
  • Fax: 1 781 271 2352
  • Email: wellner@mitre.org