Simplified Pediatric Index of Mortality 3 Score by Explainable Machine Learning Algorithm.

ABSTRACT: Pediatric Index of Mortality 3 is a validated tool including 11 variables for the assessment of mortality risk in PICU patients. With the recent advances in explainable machine learning algorithms, we aimed to assess feasibility of application of these machine learning models to simplify the Pediatric Index of Mortality 3 scoring system in order to decrease time and labor required for data collection and entry for Pediatric Index of Mortality 3.

Design

Single-center, retrospective cohort study. Data from the Virtual Pediatric Systems for patients admitted to Cleveland Clinic Children`s PICU between January 2008 and December 2019 was obtained. Light Gradient Boosting Machine Regressor (a gradient boosting decision tree algorithm) was used for building the machine learning models. Var

SUBMITTER: Baloglu O 

PROVIDER: S-EPMC8528230 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature