An Intangible System to Augment the Prediction of Heart Diseases Using Machine Learning Techniques
Shaik Akbar1, P. Sri Silpa2, Anand Thota3, K. Nageswara Rao4
1Shaik Akbar, Professor, PSCMRCET, Vijayawada (A.P), India.
2P. Sri Silpa, Assistant Professor, PSCMRCET, Vijayawada (A.P), India.
3Anand Thota, Associate Professor, PSCMRCET, Vijayawada (A.P), India.
4K. Nageswara Rao, Principal, PSCMRCET, Vijayawada (A.P), India.
Manuscript received on 07 February 2019 | Revised Manuscript received on 29 March 2019 | Manuscript Published on 28 April 2019 | PP: 101-104 | Volume-7 Issue-5C February 2019 | Retrieval Number: E10250275C19/19©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: In Present day medical scenario, it is very difficult to find the Heart-attack, Blood Pressure of the patient. So we are introducing an idea to monitor and analyze the disease of the patients they are suffering from and will alert the particular or nearby hospitals about the patient if there is any danger. So that the patient’s medical condition can be identified and can be cured.
Keywords: Prediction, Data Analytics, Machine Learning, Data Mining, Heart Diseases.
Scope of the Article: Machine Learning