An Ontology Based System for Healthcare People to Prevent Cardiovascular Diseases
Divakar H R1, B R Prakash2, Mamatha M3
1Divakar H R, PES College of Engineering, Mandya (Karnataka), India.
2Dr. B R Prakash, Govt. First Grade College, Tiptur (Karnataka), India.
3Mamatha M, Sri Siddaganga College of Arts, Science and Commerce, Tumkur (Karnataka), India.
Manuscript received on 13 October 2019 | Revised Manuscript received on 22 October 2019 | Manuscript Published on 02 November 2019 | PP: 983-988 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B11640982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1164.0982S1119
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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: Nowadays the health care providers play a very important role in human health care. Currently, the health issues are addressed in traditional hospital systems by conducting several investigations to predict the type of diseases like diabetes mellitus, cardiovascular diseases, nephrological diseases, etc. This investigation doesn’t provide any early signs of human health care system. As being a human, have a chance of occurring cardiovascular disease, it is one of the most common diseases worldwide so, it may be considered as a main cause of death. The proposed model will predict the human health status based on activities perform by him to prevent cardiovascular diseases. So, in case of health care centre to represent current health care status using Social Networks, having different conventional methods, in that ontology is one among them. WordSet is the source for ontology where the information is present. These information’s are presented in the deep semantic web, these are considered as input to determine the cardiovascular health status based on the activity of a person shared in online Social Networks allowing access between persons and places.
Keywords: Semantic Web, Deep Learning, Ontology, Social Networks, Cardiovascular System.
Scope of the Article: Healthcare Informatics