Improving Diagnosis Accuracy of Diabetic Disease Using Radial Basis Function Network and Fuzzy Clustering
Introduction: Nowadays, medical sciences and physicians face a huge amount of data. Diabetes is one of the most expensive glands in the world. Since it is not always easy to diagnose the disease, the physician should examine the outcome of patient tests and decisions made in the past for patients wi...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Hamara Afzar
2019-11-01
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Series: | Frontiers in Health Informatics |
Online Access: | http://ijmi.ir/index.php/IJMI/article/view/203 |