A machine learning-based approach for predicting the outbreak of cardiovascular diseases in patients on dialysis

Academic Article
Publication Date:
2019
abstract:
Background and Objective: Patients with End-Stage Kidney Disease (ESKD) have a unique cardiovascular risk. This study aims at predicting, with a certain precision, death and cardiovascular diseases in dialysis patients.
Iris type:
01.01 Articolo in rivista
Keywords:
Machine learning; Cardiovascular outcomes; ESRD; Prognosis
List of contributors:
Authors of the University:
Handle:
https://iris.cnr.it/handle/20.500.14243/381670
Published in:
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
Journal