Diagnosis of Diabetes Using an Intelligent Approach Based on Bi-Level Dimensionality Reduction and Classification Algorithms

نویسندگان
Sheikhpour, Razieh ID 1
Sarram, Mehdi Agha ID 2

1 School of Electrical and Computer Engineering, Yazd University, Yazd, Iran.

2 School of Electrical and Computer Engineering, Yazd University, Yazd, Iran.

doi
چکیده

Objective: Diabetes is one of the most common metabolic diseases. Earlier diagnosis of diabetes and treatment of hyperglycemia and related metabolic abnormalities is of vital importance. Diagnosis of diabetes via proper interpretation of the diabetes data is an important classification problem. Classification systems help the clinicians to predict the risk ...

کلیدواژه‌ها
Diabetes, Data mining, Classification, Dimensionality reduction, Feature selection, Feature extraction.