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A machine learning model for prediction of early-onset neonatal sepsis in low- and middle-income countries: Development and validation study

2025-09-29

Abstract excerpt

<h4>Objective</h4> Early-onset sepsis (EOS), which occurs within the first 72 hours of life, can often be fatal for neonates. Machine learning (ML) models demonstrate promise for timely diagnosis. However, current ML models primarily rely on data from high-income countries, which reduces their applicability to low- and middle-income countries (LMICs) that have a higher burden and different disease profiles. We de...

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Literature Corpus work
8f8e0a70-d312-5e76-977c-5e378fbeda49
DOI
10.1101/2025.09.20.25335989
Open publication

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A machine learning model for prediction of early-onset neonatal sepsis in low- and middle-income countries: Development and validation studyDOI 10.1101/2025.09.20.25335989
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