Construction and application of machine learning models for predicting intradialytic hypotension.

ABSTRACT:

Introduction

Intradialytic hypotension (IDH) remains a prevalent complication of hemodialysis, which is associated with adverse outcomes for patients. This study seeks to harness machine learning to construct predictive models for IDH based on multiple definitions.

Methods

In this study, a comprehensive approach was employed, leveraging a dataset comprising 26,690 hemodialysis (HD) sessions for training and testing cohort, with an additional 12,293 HD sessions serving as a temporal validation cohort. Five definitions of IDH were employed, and models for each IDH definition were constructed using ten machine learning algorithms. Subsequently, model interpretation was facilitated. Feature simplification ensued, leading to the creation and evaluation of a streamlined machine le

SUBMITTER: Wang P 

PROVIDER: S-EPMC12507235 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature