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Intelligent hepatitis diagnosis using adaptive neuro-fuzzy inference system and information gain method

文献类型：期刊论文

作者Ahmad, Waheed4; Ahmad, Ayaz5,6; Iqbal, Amjad7; Hamayun, Muhammad8; Hussain, Anwar8; Rehman, Gauhar1; Khan, Salman9; Khan, Ubaid Ullah2; Khan, Dawar3; Huang, Lican4
刊名SOFT COMPUTING
出版日期2019-11-01
卷号23期号:21页码:10931-10938
关键词Information gain (IG) The adaptive neuro-fuzzy inference system (ANFIS) Hepatitis Diagnosis Machine learning
ISSN号1432-7643
DOI10.1007/s00500-018-3643-6
通讯作者Ahmad, Waheed(ahdwaheed@hotmail.com) ; Huang, Lican(licanhuang@zstu.edu.cn)
英文摘要Hepatitis, a common liver inflammation, is one of the major public health issues around the world. Proper interpretation of clinical data for the diagnosis of hepatitis is an important problem that needs to be addressed. In this study, a hybrid intelligent approach, combining information gain method and adaptive neuro-fuzzy inference system (ANFIS), is proposed for the diagnosis of fatal hepatitis disorder. Initially, the hepatitis dataset obtained from the University of California Irvine machine learning repository is preprocessed to make it suitable for the mining process. After the preprocessing stage, information gain method is applied to condense the number of features in order to decrease computation time and classification complexity. Selected features are then fed into the ANFIS classifier system. The performance of the proposed approach was evaluated using statistical methods, and the highest results for the classification accuracy, specificity, and sensitivity analysis of the proposed system reached were 95.24%, 91.7%, and 96.17%, respectively. The obtained results show that the proposed intelligent system has a good diagnosis performance and can be applied as a promising tool for the diagnosis of hepatitis.
WOS关键词DISEASE DIAGNOSIS ; COMPONENT ANALYSIS ; K-NN ; NETWORK ; ANFIS
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000492901800024
出版者SPRINGER
源URL[http://ir.ia.ac.cn/handle/173211/28844]  
专题自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队
通讯作者Ahmad, Waheed; Huang, Lican
作者单位1.Abdul Wali Khan Univ Mardan, Dept Zool, Mardan 23200, Pakistan
2.Comsats Inst Informat Technol Abbottabad, Dept Comp Sci, Islamabad, Pakistan
3.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
4.Zhejiang Sci Tech Univ, Sch Informat, Dept Comp Sci, Hangzhou, Zhejiang, Peoples R China
5.Chinese Acad Sci, Inst Genet & Dev Biol, Beijing, Peoples R China
6.Abdul Wali Khan Univ Mardan, Dept Biotechnol, Mardan, Pakistan
7.Abdul Wali Khan Univ Mardan, Dept Agr, Mardan, Pakistan
8.Abdul Wali Khan Univ Mardan, Dept Bot, Mardan 23200, Pakistan
9.Abdul Wali Khan Univ Mardan, Dept Comp Sci, Mardan, Pakistan
推荐引用方式
GB/T 7714		 Ahmad, Waheed,Ahmad, Ayaz,Iqbal, Amjad,et al. Intelligent hepatitis diagnosis using adaptive neuro-fuzzy inference system and information gain method[J]. SOFT COMPUTING,2019,23(21):10931-10938.
APA Ahmad, Waheed.,Ahmad, Ayaz.,Iqbal, Amjad.,Hamayun, Muhammad.,Hussain, Anwar.,...&Huang, Lican.(2019).Intelligent hepatitis diagnosis using adaptive neuro-fuzzy inference system and information gain method.SOFT COMPUTING,23(21),10931-10938.
MLA Ahmad, Waheed,et al."Intelligent hepatitis diagnosis using adaptive neuro-fuzzy inference system and information gain method".SOFT COMPUTING 23.21(2019):10931-10938.

入库方式： OAI收割

来源：自动化研究所

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