Type II Diabetes Prediction using Combo of SVM
2019 ◽
Vol 8
(6)
◽
pp. 712-715
Keyword(s):
In 21th century, IT plays a very important and helpful role in health care industries acting as a savior to human life. Data mining and machine learning are two sides of healthcare-IT. Proposed system considers one of the most common chronic diseases called diabetes. India and almost all other countries are worried about diabetic patients, so diabetes can termed as a global chronic disease. In this paper, well-known predictive machine learning techniques viz. SVM, Random Tree and ANN are applied on PIMA dataset. Results of SVM, ANN, and RT are 90.1%, 88.02%, and 83.59% respectively
2019 ◽
Vol 4
(3)
◽
pp. 729-744
◽
2021 ◽
Vol 12
(2)
◽
pp. 510-516
Keyword(s):
2019 ◽
Vol 8
(10S)
◽
pp. 292-296