Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data.
Journal:
Annals of the American Thoracic Society
Published Date:
Jul 1, 2018
Abstract
RATIONALE: Patients transferred from the intensive care unit to the wards who are later readmitted to the intensive care unit have increased length of stay, healthcare expenditure, and mortality compared with those who are never readmitted. Improving risk stratification for patients transferred to the wards could have important benefits for critically ill hospitalized patients.