A Critique on Heart Diseases Predictive Analytics Using Big Data Algorithms
K. Gayathri1, N. Uma Maheswari2, G. Mariammal3
1K. Gayathri, Assistant Professor, Department of Computer Science and Engineering, PSNA College of Engineering and Technology, Dindigul (Tamil Nadu), India.
2Dr. N. Uma Maheswari, Professor, Department of Computer Science and Engineering, PSNA College of Engineering and Technology, Dindigul (Tamil Nadu), India.
3Ms. G. Mariammal, Assistant Professor, Department of Computer Science and Engineering, PSNA College of Engineering and Technology, Dindigul (Tamil Nadu), India.
Manuscript received on 20 August 2019 | Revised Manuscript received on 27 August 2019 | Manuscript Published on 31 August 2019 | PP: 794-798 | Volume-8 Issue-9S2 August 2019 | Retrieval Number: I11640789S219/19©BEIESP DOI: 10.35940/ijitee.I1164.0789S219
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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: A large volume of both structured and unstructured information is managed by the emerging technology big data. This information is complicated to practice using set records and software techniques. An elite solution is brought in all technologies by using them competently. To improve the prediction of heart diseases earlier and bring more intellectual decisions the big data is potential in healthcare organization. In the present world condition the doctors and experts available are very intricate to forecast the heart diseases. The heart attack has become a remarkable cause of the endless demise worldwide. Heart attack is essential to predict it at an earlier stage to standby the existence of individuals and it is the main source of demise. The primary purpose is to predict the risk level of a person using Big Data algorithms for the cardiac disease. Big Data is primarily designed to provide a national scheme for physicians and patients to login and view Cloud information. Hadoop Map Reduce programming is used to maintain the hospital details. The machine learning algorithms is used to view the precise condition of the patient in its graphical demonstration. Using cloud platform for accessing globally exploitation any browsers in any a part of the globe this application are often enforced.
Keywords: Big Data, Health Care, Diagnosis, Big Data Analytics, Hadoop, Cloud Platform, Machine Learning, Map Reducing Algorithm
Scope of the Article: Health Monitoring and Life Prediction of Structures