Development and External Validation of a Machine Learning Model for Prediction of Potential Transfer to the PICU
OBJECTIVES:
Unrecognized clinical deterioration during illness requiring hospitalization is associated with high risk of mortality and long-term morbidity among children. Our objective was to develop and externally validate machine learning algorithms using electronic health records for identifying ICU transfer within 12 hours indicative of a child’s condition.
DESIGN:
Observational cohort study.
SETTING:
Two urban, tertiary-care, academic hospitals (sites 1 and 2).
PATIENTS:
Pediatric inpatients (age
Source: Pediatric Critical Care Medicine - Category: Pediatrics Tags: Clinical Investigations Source Type: research
More News: Academia | Child Development | Children | Electronic Health Records (EHR) | Hospitals | Learning | Pediatrics | Study | Universities & Medical Training