Comparative Study of Diabetic Patient Data Using Classi?cation Algorithm in Weaka
Journal: International Journal of Science and Research (IJSR) (Vol.6, No. 10)Publication Date: 2017-10-05
Authors : Ahlam A. Sharief; Alaa F. Sheta; Talaat M. Wahbi;
Page : 141-146
Keywords : diabetes; Classication; Feature Selection; Pima Indians Diabetes Dataset PIDD; Weaka;
Abstract
Diabetes mellitus is now a big growing health problem as it is fourth biggest cause of death world wide particularly in the industrial and developing countries. Early detection of diabetes is of vital importance nowadays. There have been many techniques used in Machine learning that were applied over diabetes diagnosis to help physicians. Diabetes mellitus or simply diabetes is a disease caused due to the increase level of blood glucose. Various available traditional methods for diagnosing diabetes are based on physical and chemical tests. These methods can have errors due to different uncertainties. A number of Data mining algorithms were designed to overcome these uncertainties.
Other Latest Articles
- Knowledge Regarding Human Rights of Mentally Ill Persons among Adults: A Survey in Urban and Rural Wardha
- The Calculations of Ring Current of Some Benzenoids Using Randic Model
- The Effect of Psychological Capital on Midwife Performance in Achieving Exclusive Breastfeeding Coverage
- Early Prediction of Student Success Using a Data Mining Classification Technique
- Working Capital Management of Manufacturing Companies Listed in GCC
Last modified: 2021-06-30 20:01:06