Survival analysis of recurrent breast cancer patients using mix Bayesian network.

ABSTRACT:

Introduction

Breast cancer (BC) is the most common cancer among women. Iranians have an 11% BC recurrence rate, which lowers their survival rates. Few studies have investigated cancer recurrence survival rates. This study's major purpose is to use a mixed Bayesian network (BN) to analyze recurrent patients' survival.

Material and methods

This study aimed to evaluate the pathobiological features, age, gender, final status, and survival time of the patients. Bayesian imputation was used for missing data. The performance of BN was optimized through the utilization of a blacklist and prior probability. After structural and parametric learning, posterior conditional probabilities and mean survival periods for the node arcs were predicted. The hold-out technique based on the poste

SUBMITTER: Shahmirzalou P 

PROVIDER: S-EPMC10539960 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature