Using GBC Algorithm to Optimize Support Vector Machine Parameters for Predicting the Relationship between Cancer and Cardiac Infarction: A Case Study

Using GBC Algorithm to Optimize Support Vector Machine Parameters for Predicting the Relationship between Cancer and Cardiac Infarction: A Case Study

Introduction: Awareness of cancer increases the probability of neurotic disorders and stress in the patient. Also, stress increases the risk of myocardial infarction. The present study aimed to determine the probability of a heart attack in cancer patients based on the GBC algorithm. Method: In this...

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Bibliographic Details
Main Authors: Mehdi Nooshyar, Mohammad Momeni, Sorayya Gharravi, Fatemeh Hourali
Format: Article
Language:fas
Published: Kerman University of Medical Sciences 2018-12-01
Series:مجله انفورماتیک سلامت و زیست پزشکی
Subjects:
cancer
heart attack
gbc algorithm
support vector machine
increase precision of prediction
Online Access:http://jhbmi.ir/article-1-312-en.html

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