000			01191nam a22001457a 4500
008			210806b ||||| |||| 00| 0 eng d
100			_aAKPU, CHUKWUMA HILARY _98652
245			_aA PREDICTIVE MODEL FOR THE DIAGNOSIS OF HEART DISEASE WITH THE USE OF MACHINE LEARNING TECHNIQUES
250			_aDR. F. A. KASALI
260			_aIbafo _bCOMPUTER SCIENCE AND MATHEMATICS _c2020
300			_aix; 50 _bdia, tables
520			_aHeart 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.
650			_aComputer Science _91105
942			_cTHS
999			_c6119 _d6119