Prediction of recovery from multiple organ dysfunction syndrome in pediatric sepsis patients.

ABSTRACT:

Motivation

Sepsis is a leading cause of death and disability in children globally, accounting for ∼3 million childhood deaths per year. In pediatric sepsis patients, the multiple organ dysfunction syndrome (MODS) is considered a significant risk factor for adverse clinical outcomes characterized by high mortality and morbidity in the pediatric intensive care unit. The recent rapidly growing availability of electronic health records (EHRs) has allowed researchers to vastly develop data-driven approaches like machine learning in healthcare and achieved great successes. However, effective machine learning models which could make the accurate early prediction of the recovery in pediatric sepsis patients from MODS to a mild state and thus assist the clinicians in the decision-making pro

SUBMITTER: Fan B 

PROVIDER: S-EPMC9236580 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature