Development and Initial Implementation of a Machine-Learning-Based Predictive Index for Critical Deterioration among Hospitalized Children
Christopher M. Horvat(University of Pittsburgh), Srinivasan Suresh(University of Pittsburgh), Denee Marasco(UPMC Health System), Stacey Cote(Children's Hospital of Pittsburgh), Gabriella Butler(Children's Hospital of Pittsburgh), Henry Ogoe(Children's Hospital of Pittsburgh), Celia Pulver(Children's Hospital of Pittsburgh), Sarah Rubin(Children's Hospital of Pittsburgh), Heidilyn Dolinich(UPMC Health System), Sajel Kantawala(University of Pittsburgh), Holly Warmus(Children's Hospital of Pittsburgh)
Cited by 1
Related Papers
Effect of Hydrocortisone on Mortality and Organ Support in Patients With Severe COVID-19
|JAMA|2020|884
Development and Validation of the Phoenix Criteria for Pediatric Sepsis and Septic Shock
|JAMA|2024|202
Trends in US Pediatric Hospital Admissions in 2020 Compared With the Decade Before the COVID-19 Pandemic
|JAMA Network Open|2021|187
Artificial intelligence-based clinical decision support in pediatrics
|Pediatric Research|2022|162