Research on the development of an intelligent prediction model for blood pressure variability during hemodialysis.

ABSTRACT:

Objective

Blood pressure fluctuations during dialysis, including intradialytic hypotension (IDH) and intradialytic hypertension (IDHTN), are common complications among patients undergoing maintenance hemodialysis. Early prediction of IDH and IDHTN can help reduce the occurrence of these fluctuations. With the development of artificial intelligence, machine learning and deep learning models have become increasingly sophisticated in the field of hemodialysis. Utilizing machine learning to predict blood pressure fluctuations during dialysis has become a viable predictive method.

Methods

Our study included data from 67,524 hemodialysis sessions conducted at Ningbo No.2 Hospital and Xiangshan First People's Hospital from August 1, 2019, to September 30, 2023. 47,053 sessions were

SUBMITTER: Ren Z 

PROVIDER: S-EPMC11834630 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature