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Introduction
Author(s) -
R. JAMUNA,
M. Phil,
K. MEENA
Publication year - 1968
Publication title -
acta pædiatrica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.772
H-Index - 115
eISSN - 1651-2227
pISSN - 0803-5253
DOI - 10.1111/j.1651-2227.1968.tb05655.x
Subject(s) - citation , medicine , information retrieval , library science , world wide web , computer science
The paper involves the study of genetic patterns in Homo sapiens and the application of computer algorithms in the prediction of genetic diseases like DIABETES MELLITUS.. The paper analyses the HLA-DQ, HLA-DR, HNF4γ genes, and their relation to disease susceptibilities leading to TYPE-I DIABETES TYPE-2 DIABETES, MODY, AND LADA DIABETES. The paper first focuses the significance of the major Histo compatibility HUMAN LEUKOCYTE ANTIGEN REGION (HLA). Then the category of each allele pattern is classified and FUZZY-CLASSIFIER predicts the risk level of Diabetes. Since many environmental factors like stress, life style etc are involved in the cause of Diabetes Mellitus the proximity to the genetic risk can only be modeled to create an awareness for the patients. GRAPHS are developed to show the RISK LEVELS of different diabetes causing genes, as people all over the world are anticipating the threat due to this disorder terribly in the years to dawn.