Computation Model for Identifying Types of Diabetics Using Multi-SelectionCriteria Evaluation and K-Nearest Neighbor

Authors

  • Towhidul Islam

Keywords:

classification diabetes, MCES algorithm-NN algorithm

Abstract

The main purpose of this topic is to develop a dynamic model of a Diabetes solution system. Diabetes mellitus is a chronic disease caused by inherited and/or acquired deficiency in production of insulin by the pancreas or by the ineffectiveness of the insulin produced such a deficiency results in increased concentrations of glucose in the blood. Which in turn damage many of the body systems in particular the blood vessels and nerves. Diabetes mellitus, often simply referred to as diabetes, is a group of metabolic diseases in which a person has high blood sugar, either because the body does not produce enough insulin, or because cells do not respond to the insulin that is produced. This high blood sugar produces the classical symptoms of polyuria (frequent urination), polydipsia (increased thirst) and polyphonic (increased hunger).diabetes is data mining based notification systems. This system developed is main purposed the people easily treatment for accommodation. This system helps finds diabetes what type of diabetes type1, type2,

How to Cite

Towhidul Islam. (2018). Computation Model for Identifying Types of Diabetics Using Multi-SelectionCriteria Evaluation and K-Nearest Neighbor. Global Journal of Computer Science and Technology, 18(C4), 9–16. Retrieved from https://computerresearch.org/index.php/computer/article/view/1777

Computation Model for Identifying Types of Diabetics Using Multi-SelectionCriteria Evaluation and K-Nearest Neighbor

Published

2018-07-15