作者
Mudasir Ashraf, Syed Mudasir Ahmad, Nazir Ahmad Ganai, Riaz Ahmad Shah, Majid Zaman, Sameer Ahmad Khan, Aftab Aalam Shah
发表日期
2021
研讨会论文
International Conference on Innovative Computing and Communications: Proceedings of ICICC 2020, Volume 1
页码范围
239-255
出版商
Springer Singapore
简介
In healthcare system, the predictive modelling procedure for risk estimation of cardiovascular disease is extremely challenging and an inevitable task. Therefore, the attempt to clinically examine medical databases through conventional and leading-edge machine learning technologies is contemplated to be valuable, accurate and more importantly economical substitute for medical practitioners. In this research study, primarily we have exploited both individual learning algorithms and ensemble approaches including BayesNet, J48, KNN, multilayer perceptron, Naïve Bayes, random tree and random forest for prediction purposes. After analysing the performance of these classifiers, J48 attained noteworthy accuracy of 70.77% than other classifiers. We then employed new fangled techniques comprising TENSORFLOW, PYTORCH and KERAS on the same dataset acquired from Stanford online repository. The …
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M Ashraf, SM Ahmad, NA Ganai, RA Shah, M Zaman… - International Conference on Innovative Computing and …, 2021