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Development and Bidirectional Cross-Database Validation of a Machine Learning Model for Predicting Invasive Fungal Infection in Critically Ill Patients

2026-07-27

Abstract excerpt

<title>Abstract</title> <p>Background Invasive fungal infection (IFI) is a life-threatening complication in critically ill patients, yet externally validated, generalizable machine learning (ML) tools for early risk stratification remain scarce. We developed and rigorously validated an interpretable ML model for IFI prediction across two independent ICU databases. Methods This retrospective cohort study used MI...

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Literature Corpus work
4ea8aef1-7051-59aa-a40b-007c3d47fb34
DOI
10.21203/rs.3.rs-10301019/v1
Open publication

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Development and Bidirectional Cross-Database Validation of a Machine Learning Model for Predicting Invasive Fungal Infection in Critically Ill PatientsDOI 10.21203/rs.3.rs-10301019/v1
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