Clinical Rationale/Problem Solved
Identify patients at risk for deteriorating so resources can be targeted to prevent deterioration or mitigate illness.
Potential Impact
Could reduce morbidity and mortality from undetected deterioration.
DSAW Investigators
Eric Kirkendall
Collaborators
Patrick Brady (PI), MITRE Corporation
Grants
Internal Award
Publications
Wellner B, Grand J, Canzone E, Coarr M, Brady PW, Simmons J, Kirkendall E, Dean N, Kleinman M, Sylvester P. Predicting Unplanned Transfers to the Intensive Care Unit: A Machine Learning Approach Leveraging Diverse Clinical Elements. JMIR Med Inform. 2017 Nov 22;5(4):e45.