Risk factors assessment and a Bayesian network model for predicting ischemic stroke in patients with cardiac myxoma.

ABSTRACT:

Objective

This study aims to identify relevant risk factors, assess the interactions between variables, and establish a predictive model for ischemic stroke (IS) in patients with cardiac myxoma (CM) using the Bayesian network (BN) approach.

Methods

Data of patients with CM were collected from three tertiary comprehensive hospitals in Beijing from January 2002 to January 2022. Age, sex, medical history, and information related to CM were extracted from the electronic medical record system. The BN model was constructed using the tabu search algorithm, and the conditional probability of each node was calculated using the maximum likelihood estimation method. The probability of each node of the network and the interrelationship between IS and its related factors were qualitative

SUBMITTER: Ma L 

PROVIDER: S-EPMC10079949 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature