Heart Disease Prediction Using Machine Learning Algorithms

被引：4
|
作者：
Malavika, G. [1 ]
Rajathi, N. [1 ]
Vanitha, V. [1 ]
Parameswari, P. [2 ]
机构：
[1] Kumaraguru Coll Technol, Dept Informat Technol, Coimbatore, Tamil Nadu, India
[2] Kumaraguru Coll Technol, Dept MCA, Coimbatore, Tamil Nadu, India
来源：
BIOSCIENCE BIOTECHNOLOGY RESEARCH COMMUNICATIONS | 2020年 / 13卷 / 11期
关键词：
CLASSIFICATION ACCURACY; HEART DISEASE; MACHINE LEARNING;
D O I：
10.21786/bbrc/13.11/6
中图分类号：
Q81 [生物工程学（生物技术）]; Q93 [微生物学];
学科分类号：
071005 ; 0836 ; 090102 ; 100705 ;
摘要：
The rapidly growing field of data analysis plays a significant role in healthcare. The healthcare industry has become big business. The healthcare sector produces enormous amounts of data every day. This data helps to extract the hidden information, which is useful to predict disease at the earlier. In medical field, predicting heart disease is treated as one of the intricate tasks. Therefore, there is a necessity to develop a decision support system to forecast the cardio vascular disease in a patient. Machine learning plays a vital part in disease prediction. In this paper, various machine learning methods were used to predict the heart disease and their performances were compared. The results obtained show the superiority of the Random forest algorithm.
引用
收藏
页码：24 / 27
页数：4
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