Evaluation and Measuring Classifiers of Diabetes Diseases

Jasim I. S., DURU A. D., Shaker K., Abed B. M., Saleh H. M.

International Conference on Engineering and Technology (ICET), Antalya, Turkey, 21 - 23 August 2017, (Full Text) identifier

  • Publication Type: Conference Paper / Full Text
  • City: Antalya
  • Country: Turkey
  • Marmara University Affiliated: Yes

Abstract

Classification plays tremendous role in data mining process, especially for huge amount of data and it is suitable for predict new knowledge and discover patterns. This process can work with different types of data whether it was nominal or continuous. In this paper classification will be performs on diseases diagnoses by choosing to work with (k-nearest neighborhood algorithm KNN) measure and evaluate the method with (Artificial Neural Network ANN).