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

doi:10.1007/s00500-018-3643-6

	Intelligent hepatitis diagnosis using adaptive neuro-fuzzy inference system and information gain method
	Ahmad, Waheed 1; Ahmad, Ayaz 2,3; Iqbal, Amjad 4; Hamayun, Muhammad 5; Hussain, Anwar 5; Rehman, Gauhar 6; Khan, Salman 7; Khan, Ubaid Ullah 8; Khan, Dawar9 ; Huang, Lican 1
发表期刊	SOFT COMPUTING
ISSN	1432-7643
	2019-11-01
卷号	23 期号:21 页码:10931-10938
通讯作者	Ahmad, Waheed(ahdwaheed@hotmail.com) ; Huang, Lican(licanhuang@zstu.edu.cn)
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.
关键词	Information gain (IG) The adaptive neuro-fuzzy inference system (ANFIS) Hepatitis Diagnosis Machine learning
DOI	10.1007/s00500-018-3643-6
关键词[WOS]	DISEASE DIAGNOSIS ; COMPONENT ANALYSIS ; K-NN ; NETWORK ; ANFIS
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications
WOS记录号	WOS:000492901800024
出版者	SPRINGER
引用统计	被引频次：6[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/28845
专题	多模态人工智能系统全国重点实验室_多媒体计算
通讯作者	Ahmad, Waheed; Huang, Lican
作者单位	1.Zhejiang Sci Tech Univ, Sch Informat, Dept Comp Sci, Hangzhou, Zhejiang, Peoples R China 2.Chinese Acad Sci, Inst Genet & Dev Biol, Beijing, Peoples R China 3.Abdul Wali Khan Univ Mardan, Dept Biotechnol, Mardan, Pakistan 4.Abdul Wali Khan Univ Mardan, Dept Agr, Mardan, Pakistan 5.Abdul Wali Khan Univ Mardan, Dept Bot, Mardan 23200, Pakistan 6.Abdul Wali Khan Univ Mardan, Dept Zool, Mardan 23200, Pakistan 7.Abdul Wali Khan Univ Mardan, Dept Comp Sci, Mardan, Pakistan 8.Comsats Inst Informat Technol Abbottabad, Dept Comp Sci, Islamabad, Pakistan 9.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
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.