An Intelligent System for Appraisal of Heart Infirmity to Rescue Future Generation

Abstract

Prognosis means prediction from past data. Many of the people are not aware of hereditary diseases; due to their unawareness, their life span get reduced. In this paper, we have analyzed the reason for the prognosis of heart problems to rescue future generation. We have done a research on the people based on their age groups and working departments and analyzed how their individual level and emotional level differ from the normal people. We have collected different types of symptoms for various heart-related diseases from affected people and it is placed in database. We also collected the different types of symptoms from experts and categorized the symptoms in the database based on our gathered information that this system is useful to rectify the generic problems and to increase their life time. Hence, the heart disease is predicted with different levels of data analysis with various combinations of attributes and models.