Adaptive Neural-Fuzzy Inference System in Medical Practice_Chinese Journal of Clinical Thoracic and Cardiovascular Surgery

Authors：

ZHOUQin ¹ ,  CHENJin ¹ , DONGLi ²

1. Department of Evidence-based Medicine and Clinical Epidemiology, West China Hospital of Sichuan University, Chengdu 610041, P. R. China;
2. Department of Cardiovascular Surgery, West China Hospital of Sichuan University, Chengdu 610041, P. R. China;

Corresponding author：

CHENJin, Email: ebm_chenjin@126.com

Keywords：

Neural-fuzzy system; Adaptive neural-fuzzy inference system(ANFIS); Medicine; Application

DOI：

10.7507/1007-4848.20150068

Video：

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There are a great number of uncertainties in medical practice, causing considerable difficulties in medical activities such as diagnosis and prognostic prediction. Neural-fuzzy system (NFS) combines the advantages of artificial neural networks and fuzzy logic very well, and has become a new type of artificial intelligence model which is capable of acquiring knowledge from data and expressing it in the form of fuzzy rules. Because of its strong capability of classification and processing fuzzy information, NFS is more and more used in medical practice. Adaptive neural-fuzzy inference system (ANFIS) is one of the most popular forms of NFS. This review focuses on the use of ANFIS in medical practice.

Citation： ZHOUQin, CHENJin, DONGLi. Adaptive Neural-Fuzzy Inference System in Medical Practice. Chinese Journal of Clinical Thoracic and Cardiovascular Surgery, 2015, 22(3): 252-256. doi: 10.7507/1007-4848.20150068 Copy

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2.	周润景,张丽娜,主编.基于MATLAB与fuzzyTECH的模糊与神经网络设计.北京:电子工业出版社,2010.1-3.
3.	Arthi K,Tamilarasi A.Prediction of autistic disorder using neuro fuzzy system by applying ANN technique.Int J Dev Neurosci,2008,26(7):699-704.
4.	李敏,潘慧平,叶志前.探讨模糊神经网络在麻醉监测中的应用.中国医疗器械信息,2007,13(9):5-10.
5.	Akgundogdu A,Kurt S,Kilic N,et al.Diagnosis of renal failure disease using adaptive Neuro-Fuzzy inference system.J Med Syst,2010,34(6):1003-1009.
6.	Jang JS.ANFIS:adaptive-network-based fuzzy inference system.Systems,Man and Cybernetics,IEEE Transactions on 1993,23(3):665-685.
7.	Dhanalakshmi M,Sriraam N,Ramya G,et al.Computer aided diagnosis for enteric lesions in endoscopic images using anfis.Intern J Wisd Bas Comput,2012,2(1):1-5.
8.	Mousa R,Munib Q,Moussa A.Breast cancer diagnosis system based on wavelet analysis and fuzzy-neural.Expert Syst Appl,2005,28(4):713-723.
9.	Tarjoman M,Fatemizadeh E,Badie K.A framework for content-based human brain magnetic resonance images retrieval using saliency map.Biomedical Engineering-Applications,Basis and Communications,2013,25(4).DOI:10.4015/S1016237213500452.
10.	Rezatofighi S,Roodaki A,Ahmadi NH.An enhanced segmentation of blood vessels in retinal images using contourlet.In:Engineering.n:Engineering in Medicine and Biology Society,2008 EMBS 2008 30th Annual International Conference of the IEEE:2008.IEEE:5814-5817.
11.	Odeh S M.Using an adaptive Neuro-Fuzzy inference system (AnFis) algorithm for automatic diagnosis of skin cancer.J Commun Comp,2011,8(9):751-755.
12.	Akgundogdu A,Jennane R,Aufort GA,et al.3D image analysis and artificial intelligence for bone disease classification.J Med Syst,2010,34(5):815-828.
13.	Kannathal N,Lim CM,Acharya UR,et al.Cardiac state diagnosis using adaptive neuro-fuzzy technique.Med Eng Phys,2006,28(8):809-815.
14.	Subasi A.Application of adaptive neuro-fuzzy inference system for epileptic seizure detection using wavelet feature extraction.Comput Biol Med,2007,37(2):227-244.
15.	Özkan AO,Kara S,Salli A,et al.Medical diagnosis of rheumatoid arthritis disease from right and left hand Ulnar artery Doppler signals using adaptive network based fuzzy inference system (ANFIS) and MUSIC method.Advances in Engineering Software,2010,41(12):1295-1301.
16.	Avci E,Turkoglu I.An intelligent diagnosis system based on principle component analysis and ANFIS for the heart valve diseases.Expert Syst Appl,2009,36(2):2873-2878.
17.	Akdemir B,Kara S,Polat K,et al.Ensemble adaptive network-based fuzzy inference system with weighted arithmetical mean and application to diagnosis of optic nerve disease from visual-evoked potential signals.Artif Intell Med,2008,43(2):141-149.
18.	Polat K,Güneş S.An expert system approach based on principal component analysis and adaptive neuro-fuzzy inference system to diagnosis of diabetes disease.Digit Signal Process,2007,17(4):702-710.
19.	Übeyli ED.Automatic diagnosis of diabetes using adaptive neuro-fuzzy inference systems.Expert Systems,2010,27(4):259-266.
20.	Dogantekin E,Dogantekin A,Avci D,et al.An intelligent diagnosis system for diabetes on linear discriminant analysis and adaptive network based fuzzy inference system:LDA-ANFIS.Digit Signal Process,2010,20(4):1248-1255.
21.	Huang ML,Chen HY,Huang JJ.Glaucoma detection using adaptive neuro-fuzzy inference system.Expert Syst Appl,2007,32(2):458-468.
22.	Baker OF,Kareem S.ANFIS models for prognostic and survival rate analysis "nasopharyngeal carcinoma".In:Management of Innovation and Technology,2008 ICMIT 2008 4th IEEE International Conference on:2008.IEEE:537-541.
23.	Hamdan H,Garibaldi JM.Adaptive neuro-fuzzy inference system (ANFIS) in modelling breast cancer survival.In:Fuzzy Systems (FUZZ),2010 IEEE International Conference on:2010.IEEE:1-8.
24.	Rabbi AF,Azinfar L,Fazel-Rezai R.Seizure prediction using adaptive neuro-fuzzy inference system.In:Engineering in Medicine and Biology Society (EMBC),2013 35th Annual International Conference of the IEEE:2013.IEEE:2100-2103.
25.	Noghabi SL,Kamyad AV,Foroughipour M,et al.Estimating the optimal dosage of Sodium valproate in idiopathic generalized epilepsy with adaptive neuro-fuzzy inference system.Bas Clin Neurosci,2012,3(3):24-31.
26.	Azar AT.Adaptive neuro-fuzzy system as a novel approach for predicting post-dialysis urea rebound.Intern J Intel Sys Tech Appl,2011,10(3):302-330.
27.	Azar AT.A novel ANFIS application for prediction of post-dialysis blood urea concentration.Inter J Intell Sys Tech Appl,2013,12(2):87-110.
28.	郝旺身,朱训生,王祥瑞,等.模糊神经网络预测电针镇痛过程中生化指标变化的应用研究.中华临床医师杂志:电子版,2008,2(3):290-298.
29.	Amer MB.An adaptive neurofuzzy technique for determination of blood acidity.Comput Meth Biomech Biomed Engin,2010,13(6):685-691.
30.	Nunes CS,Amorim P.A neuro-fuzzy approach for predicting hemodynamic responses during anesthesia.n:Engineering in Medicine and Biology Society,2008 EMBS 2008 30th Annual International Conference of the IEEE:2008.IEEE:5814-5817.
31.	Esmaili TA,Riboldi M,Imani FA,et al.An adaptive fuzzy prediction model for real time tumor tracking in radiotherapy via external surrogates.J Appl Clin Med Phys,2013,14(1):4008.
32.	Gogbashian A,Sedrakyan A,Euroscore TT.A systematic review of international performance.Euro J Cardio-Thorac Surg,2004,25(5):695-700.
33.	付博,董力,石应康.中国人心脏瓣膜置换术后抗凝治疗数据库建设.中国胸心血管外科临床杂志,2013,20(1):2-9.

1. Zadeh LA.Fuzzy sets.Information and control,1965,8(3):338-353.
2. 周润景,张丽娜,主编.基于MATLAB与fuzzyTECH的模糊与神经网络设计.北京:电子工业出版社,2010.1-3.
3. Arthi K,Tamilarasi A.Prediction of autistic disorder using neuro fuzzy system by applying ANN technique.Int J Dev Neurosci,2008,26(7):699-704.
4. 李敏,潘慧平,叶志前.探讨模糊神经网络在麻醉监测中的应用.中国医疗器械信息,2007,13(9):5-10.
5. Akgundogdu A,Kurt S,Kilic N,et al.Diagnosis of renal failure disease using adaptive Neuro-Fuzzy inference system.J Med Syst,2010,34(6):1003-1009.
6. Jang JS.ANFIS:adaptive-network-based fuzzy inference system.Systems,Man and Cybernetics,IEEE Transactions on 1993,23(3):665-685.
7. Dhanalakshmi M,Sriraam N,Ramya G,et al.Computer aided diagnosis for enteric lesions in endoscopic images using anfis.Intern J Wisd Bas Comput,2012,2(1):1-5.
8. Mousa R,Munib Q,Moussa A.Breast cancer diagnosis system based on wavelet analysis and fuzzy-neural.Expert Syst Appl,2005,28(4):713-723.
9. Tarjoman M,Fatemizadeh E,Badie K.A framework for content-based human brain magnetic resonance images retrieval using saliency map.Biomedical Engineering-Applications,Basis and Communications,2013,25(4).DOI:10.4015/S1016237213500452.
10. Rezatofighi S,Roodaki A,Ahmadi NH.An enhanced segmentation of blood vessels in retinal images using contourlet.In:Engineering.n:Engineering in Medicine and Biology Society,2008 EMBS 2008 30th Annual International Conference of the IEEE:2008.IEEE:5814-5817.
11. Odeh S M.Using an adaptive Neuro-Fuzzy inference system (AnFis) algorithm for automatic diagnosis of skin cancer.J Commun Comp,2011,8(9):751-755.
12. Akgundogdu A,Jennane R,Aufort GA,et al.3D image analysis and artificial intelligence for bone disease classification.J Med Syst,2010,34(5):815-828.
13. Kannathal N,Lim CM,Acharya UR,et al.Cardiac state diagnosis using adaptive neuro-fuzzy technique.Med Eng Phys,2006,28(8):809-815.
14. Subasi A.Application of adaptive neuro-fuzzy inference system for epileptic seizure detection using wavelet feature extraction.Comput Biol Med,2007,37(2):227-244.
15. Özkan AO,Kara S,Salli A,et al.Medical diagnosis of rheumatoid arthritis disease from right and left hand Ulnar artery Doppler signals using adaptive network based fuzzy inference system (ANFIS) and MUSIC method.Advances in Engineering Software,2010,41(12):1295-1301.
16. Avci E,Turkoglu I.An intelligent diagnosis system based on principle component analysis and ANFIS for the heart valve diseases.Expert Syst Appl,2009,36(2):2873-2878.
17. Akdemir B,Kara S,Polat K,et al.Ensemble adaptive network-based fuzzy inference system with weighted arithmetical mean and application to diagnosis of optic nerve disease from visual-evoked potential signals.Artif Intell Med,2008,43(2):141-149.
18. Polat K,Güneş S.An expert system approach based on principal component analysis and adaptive neuro-fuzzy inference system to diagnosis of diabetes disease.Digit Signal Process,2007,17(4):702-710.
19. Übeyli ED.Automatic diagnosis of diabetes using adaptive neuro-fuzzy inference systems.Expert Systems,2010,27(4):259-266.
20. Dogantekin E,Dogantekin A,Avci D,et al.An intelligent diagnosis system for diabetes on linear discriminant analysis and adaptive network based fuzzy inference system:LDA-ANFIS.Digit Signal Process,2010,20(4):1248-1255.
21. Huang ML,Chen HY,Huang JJ.Glaucoma detection using adaptive neuro-fuzzy inference system.Expert Syst Appl,2007,32(2):458-468.
22. Baker OF,Kareem S.ANFIS models for prognostic and survival rate analysis "nasopharyngeal carcinoma".In:Management of Innovation and Technology,2008 ICMIT 2008 4th IEEE International Conference on:2008.IEEE:537-541.
23. Hamdan H,Garibaldi JM.Adaptive neuro-fuzzy inference system (ANFIS) in modelling breast cancer survival.In:Fuzzy Systems (FUZZ),2010 IEEE International Conference on:2010.IEEE:1-8.
24. Rabbi AF,Azinfar L,Fazel-Rezai R.Seizure prediction using adaptive neuro-fuzzy inference system.In:Engineering in Medicine and Biology Society (EMBC),2013 35th Annual International Conference of the IEEE:2013.IEEE:2100-2103.
25. Noghabi SL,Kamyad AV,Foroughipour M,et al.Estimating the optimal dosage of Sodium valproate in idiopathic generalized epilepsy with adaptive neuro-fuzzy inference system.Bas Clin Neurosci,2012,3(3):24-31.
26. Azar AT.Adaptive neuro-fuzzy system as a novel approach for predicting post-dialysis urea rebound.Intern J Intel Sys Tech Appl,2011,10(3):302-330.
27. Azar AT.A novel ANFIS application for prediction of post-dialysis blood urea concentration.Inter J Intell Sys Tech Appl,2013,12(2):87-110.
28. 郝旺身,朱训生,王祥瑞,等.模糊神经网络预测电针镇痛过程中生化指标变化的应用研究.中华临床医师杂志:电子版,2008,2(3):290-298.
29. Amer MB.An adaptive neurofuzzy technique for determination of blood acidity.Comput Meth Biomech Biomed Engin,2010,13(6):685-691.
30. Nunes CS,Amorim P.A neuro-fuzzy approach for predicting hemodynamic responses during anesthesia.n:Engineering in Medicine and Biology Society,2008 EMBS 2008 30th Annual International Conference of the IEEE:2008.IEEE:5814-5817.
31. Esmaili TA,Riboldi M,Imani FA,et al.An adaptive fuzzy prediction model for real time tumor tracking in radiotherapy via external surrogates.J Appl Clin Med Phys,2013,14(1):4008.
32. Gogbashian A,Sedrakyan A,Euroscore TT.A systematic review of international performance.Euro J Cardio-Thorac Surg,2004,25(5):695-700.
33. 付博,董力,石应康.中国人心脏瓣膜置换术后抗凝治疗数据库建设.中国胸心血管外科临床杂志,2013,20(1):2-9.

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