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Development and Internal Validation of an Interpretable Machine Learning Model for Predicting Atrial Fibrillation in Patients with Diabetic Kidney Disease: A Multicenter Study

2025-12-04

Abstract excerpt

<title>Abstract</title> <p>Background Patients with diabetic kidney disease (DKD) have elevated atrial fibrillation (AF) risk, yet population-specific prediction tools are limited. We aimed to develop and internally validate an interpretable machine-learning (ML) model for AF risk in hospitalized DKD. Methods In this retrospective cohort from two hospitals (January 2021 to December 2024), 787 unique DKD admission...

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Literature Corpus work
a4168d40-0b9c-565f-98db-2797f0f8cd56
DOI
10.21203/rs.3.rs-8146262/v1
Open publication

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Development and Internal Validation of an Interpretable Machine Learning Model for Predicting Atrial Fibrillation in Patients with Diabetic Kidney Disease: A Multicenter StudyDOI 10.21203/rs.3.rs-8146262/v1
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