Article

Predicting Postoperative Sepsis Risk in Diabetic Urolithiasis Patients: A Multimodal Clinical Data-Driven Machine Learning Model

2025-10-24

Abstract excerpt

<title>Abstract</title> <p> Objective Diabetic patients are more prone to urinary tract infections due to metabolic abnormalities and impaired immune function, which can progress to urosepsis. This study aims to construct and validate an efficient and accurate predictive model, based on multimodal clinical data combined with machine learning techniques, to early assess the risk of postoperative infectious urosep...

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Literature Corpus work: d096e96c-b11d-5cb7-ae93-62bcab246107
DOI: 10.21203/rs.3.rs-7584146/v1

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