An Effective Heart Disease Prediction Method using Artificial Neural Network
Mohammad Ismail1, V. Harsha Vardhan2, V. Aditya Mounika3, K. Surya Padmini4
1Dr. Mohammed Ismail.B, Professor Computer Science & Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, (Andhra Pradesh), India.
2V. Harsha Vardhan, Final Year B.Tech CSE Koneru Lakshmaiah Education Foundation, Vaddeswaram, (Andhra Pradesh), India.
3V. Aditya Mounika, Final Year B.Tech CSE Koneru Lakshmaiah Education Foundation, Vaddeswaram, (Andhra Pradesh), India.
4K. Surya Padmini, Final Year B.Tech CSE Koneru Lakshmaiah Education Foundation, Vaddeswaram, (Andhra Pradesh), India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 1529-1532 | Volume-8 Issue-8, June 2019 | Retrieval Number: H6654068819/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The monster percentage of statistics conveyed by the crisis facilities has poor learning. In social safety device there may be steeply priced proportion of facts but poor in studying. The reason in the back of that is nonappearance of incredible exam system to discover disguised dating and data. Therefore information burrowing is used for the keeping apart and exploring the studying amounts of information making use of mining frameworks like choice tree, Naive Bayes (NB), KNN, kinfers and so on. A neural framework is a champion framework some of the most primary techniques in information mining. Right here a powerful wise set of rules depending on ANN (artificial neural network) is proposed and carried out. Consequences got here use statistics mining structures using fewer hypotheses of estimate facts and extra exactness in forecast. Execution and evaluation outcomes with SVM demonstrate that proposed framework has better detail expectation.
Keyword: Artificial intelligence, Data mining, artificial neural network, heart disease, artificial neural community (ANC).
Scope of the Article: Foundations of Communication Networks.