Comparative Analysis of AI Techniques in the Prediction of Heart Disease
Journal: International Journal of Science and Research (IJSR) (Vol.10, No. 7)Publication Date: 2021-07-15
Authors : Irtiqa Dhar;
Page : 421-424
Keywords : Artificial Intelligent Techniques; supervised learning; classification; cluster; Triglyceride; Low-density lipoprotein;
Abstract
Heart disease is very common problem today, mostly deaths occur due to cardiac failure. Problems in Electrocardiogram, Lipid profile, Blood pressure, Pulse rate, these are the major signs of cardiovascular related problems. Machine learning an emerging field which plays an important role in the prediction of cardiovascular problems. There are number of AI techniques present, but in this context an analysis of few techniques has been done. The techniques used are Decision Tree, Neural Network, K Mean clustering.
Other Latest Articles
- Experimental Activities with Bicycle at Circular Movement Learning: An Investigative Oriented Laboratory Good Experience with a Didatical Sequence
- The Neurobiological and Psychosocial Implications of Psychopaths: A Review
- Simulation Study of Macromolecules Inaccessible Pore Volume Mechanism in Heterogeneous Porous Media
- Influence of Social Media Networks on Health and Lifestyle Pattern among Adolescent Girls during the COVID Pandemic
- Strategic Leadership and Organizational Culture; Timor-Leste National Police Performance (Empirical Study on the National Police of Timor-Leste)
Last modified: 2021-08-15 12:57:31