A PREDICTIVE MODEL FOR THE DIAGNOSIS OF HEART DISEASE WITH THE USE OF MACHINE LEARNING TECHNIQUES

AKPU, CHUKWUMA HILARY

dc.contributor.author	AKPU, CHUKWUMA HILARY
dc.date.accessioned	2022-06-21T11:13:24Z
dc.date.available	2022-06-21T11:13:24Z
dc.date.issued	2020
dc.identifier.citation	AKPU CHUKWUMA HILARY (2020). A PREDICTIVE MODEL FOR THE DIAGNOSIS OF HEART DISEASE WITH THE USE OF MACHINE LEARNING TECHNIQUES	en_US
dc.identifier.other	16010301019
dc.identifier.uri	http://localhost:8080/xmlui/handle/123456789/179
dc.description.abstract	Heart diseases have the highest death toll since 2000. Heart disease on its own is basically a deficiency in the heart of living things and there are multiple kinds of heart diseases such as arrhythmia, atherosclerosis, congenital heart defects, coronary artery disease among many others. This study aims to use machine learning techniques ranging from feature selection, principal component analysis, cross-validation and several machine learning algorithms. Historical data on the distribution of heart disease among patients have been gathered and I acquired this data to be used in this research study. The predictive model for diagnosing heart diseases was developed using several machine learning algorithms.	en_US
dc.language.iso	en	en_US
dc.publisher	Mountain Top University	en_US
dc.title	A PREDICTIVE MODEL FOR THE DIAGNOSIS OF HEART DISEASE WITH THE USE OF MACHINE LEARNING TECHNIQUES	en_US
dc.type	Other	en_US