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.
CITATION STYLE
Mahadevan, C. A., Kanishka, S., … Arun, V. (2019). Diabetes Impacted Cardiovascular Disease Prediction using Machine Learning. International Journal of Engineering and Advanced Technology, 9(2), 4376–4378. https://doi.org/10.35940/ijeat.a1681.129219
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