Machine learning applications on neonatal sepsis treatment: a scoping review.

ABSTRACT:

Introduction

Neonatal sepsis is a major cause of health loss and mortality worldwide. Without proper treatment, neonatal sepsis can quickly develop into multisystem organ failure. However, the signs of neonatal sepsis are non-specific, and treatment is labour-intensive and expensive. Moreover, antimicrobial resistance is a significant threat globally, and it has been reported that over 70% of neonatal bloodstream infections are resistant to first-line antibiotic treatment. Machine learning is a potential tool to aid clinicians in diagnosing infections and in determining the most appropriate empiric antibiotic treatment, as has been demonstrated for adult populations. This review aimed to present the application of machine learning on neonatal sepsis treatment.

Methods

PubMed

SUBMITTER: O'Sullivan C 

PROVIDER: S-EPMC10308703 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature