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Clinical Applications of Machine Learning in the Survival Prediction and Classification of Sepsis:Coagulation and Heparin Usage Matter

2022-03-29

Abstract excerpt

<title>Abstract</title> <p>Background Sepsis is a life-threatening syndrome eliciting highly heterogeneous host responses. Current prognostic evaluation methods used in clinical practice are characterized by an inadequate effectiveness in predicting sepsis mortality. Rapid identification of patients with high mortality risk is urgently needed. The patients’ phenotype will assistant invaluably in tailoring treatm...

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Literature Corpus work
5f3b248a-e422-533f-900c-a3db94c21331
DOI
10.21203/rs.3.rs-1418301/v1
Open publication

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Clinical Applications of Machine Learning in the Survival Prediction and Classification of Sepsis:Coagulation and Heparin Usage MatterDOI 10.21203/rs.3.rs-1418301/v1
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