Article

An open-source, configurable machine learning pipeline for predicting blood culture outcomes from routine haematology parameters

2026-04-09

Abstract excerpt

<h4>Background: </h4> Bloodstream infections remain a major cause of morbidity and mortality worldwide, yet blood culture positivity rates are typically low, highlighting a need to optimise test use. Machine learning models trained on routinely available haematology parameters have shown promise for predicting blood culture outcomes. However, there is a lack of open-source software to implement methods described i...

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Literature Corpus work: 13dd43c4-8324-54b4-a15b-0ebbe051ed61
DOI: 10.1099/acmi.0.001212.v1

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