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Prediction of postoperative infections by strategic data imputation and explainable machine learning

2024-08-06

Abstract excerpt

<title>Abstract</title> <p>Infections following surgery drive patient morbidity and mortality, making early detection essential. Traditional predictive models utilize preoperative patient characteristics and features of the surgical procedure. This study enhances these baseline determinants by incorporating postoperative responses. We have designed and tested a procedure-agnostic workflow to forecast infection an...

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Literature Corpus work
99e5752e-cba4-5dc3-bfc1-a25c618274e2
DOI
10.21203/rs.3.rs-4594014/v1
Open publication

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Prediction of postoperative infections by strategic data imputation and explainable machine learningDOI 10.21203/rs.3.rs-4594014/v1
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