چکیده (انگلیسی):

In this study, eight major factors playing significant role in the Pima Indian population are analyzed. Real
time data is taken from the large dataset of National Institute of Diabetes and Digestive and Kidney
Diseases. The data is subjected to an analysis by logistic regression method using SPSS 7.5 statistical
software, to isolate the most significant factors among the eight factors taken. Then the significant factors
are further applied to decision tree technique called the Iterative Dichotomiser-3 algorithm which leads to
significant conclusions about this diabetes disorder which poses to be a greatest threat to mankind in the
coming era. Conglomeration of data mining techniques and medical data base research can lead to life
saving conclusions for the physicians at critical times to save the mankind.