Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data
Author:
Affiliation:
1. Department of Medicine and
2. The Center for Healthcare Delivery Science and Innovation, University of Chicago, Chicago, Illinois; and
3. Google Research, Mountain View, California
Publisher
American Thoracic Society
Subject
Pulmonary and Respiratory Medicine
Link
https://www.atsjournals.org/doi/pdf/10.1513/AnnalsATS.201710-787OC
Reference42 articles.
1. Intensive care unit readmissions in U.S. hospitals
2. Patients Readmitted to ICUs
3. Bed rationing and allocation in the intensive care unit
4. The Stability and Workload Index for Transfer score predicts unplanned intensive care unit patient readmission: Initial development and validation*
5. A case-control study of patients readmitted to the intensive care unit
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