Machine learning pipeline for blood culture outcome prediction using Sysmex XN-2000 blood sample results in Western Australia.

ABSTRACT:

Background

Bloodstream infections (BSIs) are a significant burden on the global population and represent a key area of focus in the hospital environment. Blood culture (BC) testing is the standard diagnostic test utilised to confirm the presence of a BSI. However, current BC testing practices result in low positive yields and overuse of the diagnostic test. Diagnostic stewardship research regarding BC testing is increasing, and becoming more important to reduce unnecessary resource expenditure and antimicrobial use, especially as antimicrobial resistance continues to rise. This study aims to establish a machine learning (ML) pipeline for BC outcome prediction using data obtained from routinely analysed blood samples, including complete blood count (CBC), white blood cell differenti

SUBMITTER: McFadden BR 

PROVIDER: S-EPMC10463910 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature