Logistic Regression Models in Predicting Heart Disease

This paper predicts the risk of suffering from heart disease among the elderly by exploring the feasibility of using logistic regression models. Through the technology of data mining, the main pathogenic factors of heart disease were found, and the incidence of heart disease was predicted by using t...

Full description

Saved in:
Bibliographic Details
Published in:Journal of physics. Conference series 2021-01, Vol.1769 (1), p.12024
Main Authors: Zhang, Yingjie, Diao, Lijuan, Ma, Linlin
Format: Article
Language:English
Subjects:
Algorithms
Cardiovascular disease
Data mining
Heart
Heart diseases
Model accuracy
Physics
Regression models
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper predicts the risk of suffering from heart disease among the elderly by exploring the feasibility of using logistic regression models. Through the technology of data mining, the main pathogenic factors of heart disease were found, and the incidence of heart disease was predicted by using the regression model. The accuracy of logistic regression model was compared with other explored algorithms, and I found that the logistic regression model was worthy of research in the field of heart disease prediction.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1769/1/012024