Research on the Classification of Risk of Coronary Heart Disease

Fanchao Kong, Yi Lin

2022

Abstract

The majority issue of current death is heart disease. Due to the growing information technology, data is generated and has to be collected in daily life. The data could be converted as knowledge and wisdom by applying different algorithm in data analysis. Some of medical professionals in the area of heart disease are not able to predict the probability of getting heart disease with high accuracy due to their own limitations. The paper seeks to enhance the predictive accuracy of cardiovascular disease by using linear, logistic and neural network models to classifies the people whether they have cardiovascular disease or not based on recorded information.

Paper Citation

in Harvard Style

Kong F. and Lin Y. (2022). Research on the Classification of Risk of Coronary Heart Disease. In Proceedings of the 1st International Conference on Health Big Data and Intelligent Healthcare - Volume 1: ICHIH, ISBN 978-989-758-596-8, pages 424-428. DOI: 10.5220/0011371600003438

in Bibtex Style

@conference{ichih22,
author={Fanchao Kong and Yi Lin},
title={Research on the Classification of Risk of Coronary Heart Disease},
booktitle={Proceedings of the 1st International Conference on Health Big Data and Intelligent Healthcare - Volume 1: ICHIH,},
year={2022},
pages={424-428},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011371600003438},
isbn={978-989-758-596-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Health Big Data and Intelligent Healthcare - Volume 1: ICHIH,
TI - Research on the Classification of Risk of Coronary Heart Disease
SN - 978-989-758-596-8
AU - Kong F.
AU - Lin Y.
PY - 2022
SP - 424
EP - 428
DO - 10.5220/0011371600003438