Various Data Mining Techniques for Diabetes Prognosis: A Review IJTSRD


Most of the food we eat is converted to glucose, or sugar which is used for energy. When you have diabetes, your body either doesn’t make enough insulin or cannot use its own insulin as well as it should. This causes sugar to build up in your blood leading to complications like heart disease, stroke, neuropathy, poor circulation leading to loss of limbs, blindness, kidney failure, nerve damage, and death. Data mining adopts a series of pattern recognition technologies and statistical and mathematical techniques to discover the possible rules or relationships that govern the data in the databases. Data mining plays an important role in data prediction. There are different types of diseases predicted in data mining namely Hepatitis, Lung Cancer, Liver disorder, Breast cancer, Thyroid disease, Diabetes etc’¦ This paper analyzes the Diabetes predictions.

By Misba Reyaz | Gagan Dhawan”Various Data Mining Techniques for Diabetes Prognosis: A Review”

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018,

URL: http://www.ijtsrd.com/papers/ijtsrd12927.pdf

http://www.ijtsrd.com/engineering/computer-engineering/12927/various-data-mining-techniques-for-diabetes-prognosis-a-review/misba-reyaz

call for paper Textile Engineering, international journal Software Engineering, ugc approved journals for engineering




Various Data Mining Techniques for Diabetes Prognosis: A Review IJTSRD IEEE PAPER





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