Analysis of heart disease using statistical techniques

Binary Logistic Regression analysis is one of the popular method used for prediction and forecasting of medical related data. The aim of this paper is to build a logistic model by identifying the various factors that trigger the heart disease of a person. The interaction effects of the various facto...

Full description

Saved in:
Bibliographic Details
Published in:Journal of physics. Conference series 2021-03, Vol.1770 (1), p.12105
Main Authors: Priyadarshini, E., Raj Gayathri, G., Chakravarthy, Samuel E, Vidhya, M., Memala, W.Abitha
Format: Article
Language:English
Subjects:
Cardiovascular disease
Heart
Heart diseases
Performance evaluation
Physics
Regression analysis
Statistical analysis
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Binary Logistic Regression analysis is one of the popular method used for prediction and forecasting of medical related data. The aim of this paper is to build a logistic model by identifying the various factors that trigger the heart disease of a person. The interaction effects of the various factors influencing the heart disease of a person was evaluated and the performance of the method were evaluated based on standard statistical measures such as MAPE, RMSE, etc. The results obtained shows that BLR model can be used to monitor the heart disease conditions satisfactorily.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1770/1/012105