Analysis Of Heart Disease Using Machine Learning Techniques
2021 ◽
Vol 12
(6)
◽
pp. 32-37
Keyword(s):
There is a very large number in the health sector and special methods are also used systematically. Data exchange is one of the most commonly used methods. Heart disease is one of the leading causes of death in the world. This system predicts the possibility of heart disease. The results of this system provide a 100% risk of heart disease. The data used are categorized according to medical criteria. The system evaluates these parameters using data extraction methods used in Python using two basic machine learning algorithms, the Solution Tree Algorithm, and the algorithm that demonstrates the best accuracy in heart disease.
A Comprehensive Review on Heart Disease Prediction Using Data Mining and Machine Learning Techniques
2020 ◽
Vol 4
(1)
◽
pp. 20
2018 ◽
Vol 7
(2.32)
◽
pp. 108
2021 ◽
Vol 36
(1)
◽
pp. 260-264
2020 ◽
Vol 10
(5)
◽
pp. 1137-1144
◽
Keyword(s):
2017 ◽
Vol 7
(7)
◽
pp. 172
2021 ◽