Open AccessAn Ontology Based System for Healthcare People to Prevent Cardiovascular Diseases
Author(s) -
Hema Divakar,
B. Aditya Prakash
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b1164.0982s1119
Subject(s) - ontology , health care , disease , medicine , medical emergency , computer science , pathology , philosophy , epistemology , economics , economic growth
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.