Open AccessDiabetes Impacted Cardiovascular Disease Prediction using Machine Learning
Author(s) -
C.Akash Mahadevan,
S. Kanishka,
S Saisurya.,
Vanishri Arun
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a1681.129219
Subject(s) - diabetes mellitus , cluster analysis , disease , machine learning , computer science , cardiovascular health , big data , artificial intelligence , heart disease , medicine , data mining , endocrinology
Utilizing big data growth in biological and health communities, an accurate analogy of medical data can benefit the detection of diabetes impacting cardiovascular diseases. Using k-Means clustering (kMC) algorithm for structured data of heart disease patients, we narrow down to cardiovascular diseases impacted by diabetes. To our knowledge, none of the previous work focused on predicting heart diseases specifically for diabetes patients. Contrasted to multiple other prediction algorithms, the accuracy of predicting in our proposed algorithm is faster than that of other prediction systems for cardiovascular diseases.