Accuracy Improvement for Diabetes Disease Classification: A Case on a Public Medical Dataset-Reference-Cited by-同舟云学术

Accuracy Improvement for Diabetes Disease Classification: A Case on a Public Medical Dataset

Published:2017-09 Issue:3 Volume:9 Page:345-357
ISSN:1616-8658
Container-title:Fuzzy Information and Engineering
language:en
Short-container-title:Fuzzy Information and Engineering

Author:

Nilashi Mehrbakhsh,Ibrahim Othman¹,Dalvi Mohammad²,Ahmadi Hossein,Shahmoradi Leila

Affiliation:

1. Department of Computer Engineering, Lahijan Branch, Islamic Azad University, Lahijan, Iran

2. Department of Mechatronics Engineering, University of Isfahan, Isfahan, Iran

Publisher

Informa UK Limited

Subject

Applied Mathematics,Artificial Intelligence,Industrial and Manufacturing Engineering,Management Science and Operations Research,Logic,Information Systems,Control and Systems Engineering,Theoretical Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1016/j.fiae.2017.09.006

Reference48 articles.

1. Feature generation using genetic programming with comparative partner selection for diabetes classification

2. A Clinical Decision Support Framework for Incremental Polyps Classification in Virtual Colonoscopy

3. A new intelligent hepatitis diagnosis system: PCA–LSSVM

4. An automatic diabetes diagnosis system based on LDA-Wavelet Support Vector Machine Classifier

5. The Scree Test For The Number Of Factors

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