Prediction of the breast cancer mortality rate and its effective factors using genetic algorithm and logistic regression

Prediction of the breast cancer mortality rate and its effective factors using genetic algorithm and logistic regression

Background: Logistic regression is one of the most common models used to predict and classify binary and multiple state responses in medicine. Genetic algorithms search techniques inspired by biology have recently been used successfully as a predictive model. Objective: The aim of this study was...

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Bibliographic Details
Main Authors: mahdieh mirzaie, yunes jahani, abbas bahrampour
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2022-03-01
Series:Journal of Biostatistics and Epidemiology
Subjects:
: Breast cancer
cross over
mutation
Genetic algorithm
Logistic regression
Online Access:https://jbe.tums.ac.ir/index.php/jbe/article/view/650

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