Open AccessLogistic Regression Models in Predicting Heart Disease
Author(s) -
Yingjie Zhang,
Lijuan Diao,
Linlin Ma
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1769/1/012024
Subject(s) - logistic regression , regression analysis , statistics , heart disease , disease , logistic model tree , incidence (geometry) , regression , predictive modelling , medicine , cardiology , mathematics , geometry
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.