Effective diagnosis of sepsis in critically ill children using probabilistic graphical model.

ABSTRACT:

Background

Probabilistic graphical model, a rich graphical framework in modelling associations between variables in complex domains, can be utilized to aid clinical diagnosis. However, its application in pediatric sepsis remains limited. This study aims to explore the utility of probabilistic graphical models in pediatric sepsis in the pediatric intensive care unit.

Methods

We conducted a retrospective study on children using the first 24-hour clinical data of the intensive care unit admission from the Pediatric Intensive Care Dataset, 2010-2019. A probabilistic graphical model method, Tree Augmented Naive Bayes, was used to build diagnosis models using combinations of four categories: vital signs, clinical symptoms, laboratory, and microbiological tests. Variables were revi

SUBMITTER: Nguyen TM 

PROVIDER: S-EPMC10167381 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature