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Development and Validation of Machine Learning Models for Early Prediction of Methicillin-resistant Staphylococcus aureus-associated Sepsis

2026-07-28

Abstract excerpt

<title>Abstract</title> <p>Background Sepsis secondary to methicillin-resistant Staphylococcus aureus (MRSA) infection is associated with considerable morbidity and mortality. Early stratification of patients at high risk remains essential for optimizing clinical outcomes. The MIMIC-IV database was used to develop and validate a machine-learning-based framework for early prediction of sepsis in patients with MRS...

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Literature Corpus work
cbb653c7-f225-5613-9ee6-e994e551426a
DOI
10.21203/rs.3.rs-10165727/v1
Open publication

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Development and Validation of Machine Learning Models for Early Prediction of Methicillin-resistant Staphylococcus aureus-associated SepsisDOI 10.21203/rs.3.rs-10165727/v1
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