TY - GEN
T1 - An Intelligent System for Appraisal of Heart Infirmity to Rescue Future Generation
AU - Kaliraj, S.
AU - Vivek, D.
AU - Uma, M.
AU - Balasubramanie, P.
N1 - Publisher Copyright:
© Springer Nature Singapore Pte Ltd 2020.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85079622561&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85079622561&partnerID=8YFLogxK
U2 - 10.1007/978-981-15-0199-9_57
DO - 10.1007/978-981-15-0199-9_57
M3 - Conference contribution
AN - SCOPUS:85079622561
SN - 9789811501982
T3 - Advances in Intelligent Systems and Computing
SP - 663
EP - 671
BT - Artificial Intelligence and Evolutionary Computations in Engineering Systems, ICAIECES 2019
A2 - Dash, Subhransu Sekhar
A2 - Lakshmi, C.
A2 - Das, Swagatam
A2 - Panigrahi, Bijaya Ketan
PB - Springer Gabler
T2 - 4th International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, ICAIECES 2019
Y2 - 11 April 2019 through 13 April 2019
ER -