Deep Learning-Based Death Prediction Model for Chronic Kidney Disease.

ABSTRACT:

Objectives

The prevalence of chronic kidney disease (CKD) continues to rise, making it one of the leading causes of death worldwide. Recent advances in medical and health research have progressed beyond traditional statistical methodologies, increasingly leveraging artificial intelligence to identify and predict factors influencing mortality. Further AI-based research is therefore essential to deepen understanding of the determinants of death among CKD patients.

Methods

This study used data from the Korea Disease Control and Prevention Agency's in-depth survey of patients discharged between 2016 and 2021. Least absolute shrinkage and selection operator (LASSO) regression, a machine learning technique, was applied to identify significant factors associated with death in CKD p

SUBMITTER: Kim H 

PROVIDER: S-EPMC12640731 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature