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Interpretable Machine Learning for Sepsis Risk Prediction in Elderly ICU Patients With Heart Failure: Integrating Genetic Evidence and Clinical Data

2026-04-23

Abstract excerpt

<title>Abstract</title> <p> <bold>Background</bold> : Heart failure (HF) and sepsis frequently coexist in critically ill patients, yet the causal direction between these conditions remains unclear. Clarifying whether genetic susceptibility to HF predisposes individuals to sepsis may improve risk stratification in high-risk populations. <bold>Methods:</bold> We performed a bidirectional two-sample Mendelian ra...

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Literature Corpus work
0f4ab567-9007-50e5-b9fc-bae99b3b1764
DOI
10.21203/rs.3.rs-9185668/v1
Open publication

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Interpretable Machine Learning for Sepsis Risk Prediction in Elderly ICU Patients With Heart Failure: Integrating Genetic Evidence and Clinical DataDOI 10.21203/rs.3.rs-9185668/v1
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