Diagnosis of patients with chronic kidney disease by using two fuzzy classifiers
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- 作者：Zewei Chena ; Zhuoyong Zhanga ; gusto2008@vip.sina.com" class="auth_mail" title="E-mail the corresponding author ; Ruohua Zhua ; Yuhong Xianga ; Peter B. Harringtonb
- 关键词：Chronic kidney disease (CKD) ; Fuzzy rule-building expert system (FuRES) ; Fuzzy optimal associative memory (FOAM) ; Partial least squares discriminant analysis (PLS-DA) ; Diagnosis
- 刊名：Chemometrics and Intelligent Laboratory Systems
- 出版年：2016
- 出版时间：15 April 2016
- 年：2016
- 卷：153
- 期：Complete
- 页码：140-145
- 全文大小：613 K
文摘
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A newly released chronic kidney disease (CKD) dataset was used for diagnosis method evaluation.
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Two fuzzy classifiers, fuzzy rule-building expert system (FuRES) and fuzzy optimal associative memory (FOAM), were used for CKD diagnosis.
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The robustness of diagnosis model can be increased when some levels of noise were added to the measured dataset.