Granules of risks prediction services in cloud semantics based on subjective knowledge acquisition from big data

Abstract

Health Services need to be ubiquitous to patients (users) robustly intelligent in provided health scenarios for predicting risk forecasting. Health forecasting based on different criteria becomes important feature that advanced nations should provide to their elderly growing citizen for better well-being. Predictions in heart attack or epilepsy are important to in reducing risks for patients and also other people surrounding such type pf patients, especially if the patients who have epilepsy symptoms is driving or involving in some task that could affect others.