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Reseach Article

Fuzzy Expert Systems (FES) for Medical Diagnosis

by Smita Sushil Sikchi, Sushil Sikchi, Ali M. S.
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 63 - Number 11
Year of Publication: 2013
Authors: Smita Sushil Sikchi, Sushil Sikchi, Ali M. S.
10.5120/10508-5466

Smita Sushil Sikchi, Sushil Sikchi, Ali M. S. . Fuzzy Expert Systems (FES) for Medical Diagnosis. International Journal of Computer Applications. 63, 11 ( February 2013), 7-16. DOI=10.5120/10508-5466

@article{ 10.5120/10508-5466,
author = { Smita Sushil Sikchi, Sushil Sikchi, Ali M. S. },
title = { Fuzzy Expert Systems (FES) for Medical Diagnosis },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 63 },
number = { 11 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 7-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume63/number11/10508-5466/ },
doi = { 10.5120/10508-5466 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:14:34.407220+05:30
%A Smita Sushil Sikchi
%A Sushil Sikchi
%A Ali M. S.
%T Fuzzy Expert Systems (FES) for Medical Diagnosis
%J International Journal of Computer Applications
%@ 0975-8887
%V 63
%N 11
%P 7-16
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Fuzzy logic has proved to be the remarkable tool for building intelligent decision making systems based on the expert's knowledge and observations. This paper reviews the trend in development of FES and application potential over past two and half decades in the medical field, based on the references of 173 articles from 124 journals, several proceedings and web media. In order to investigate the significance of FES for medical diagnosis, the articles are classified into five distinct categories: Reviews and Surveys on Fuzzy Expert Systems in Medical Diagnosis, Applications of Fuzzy Expert Systems in Medical Diagnosis, Methodologies and Modelling of Fuzzy Expert Systems, Neuro-Fuzzy Approaches, Fuzzy Expert System Shells and Frameworks. The development of disease specific applications using FES is observed to be the area of most significant interest of the researchers. The earlier contributions are reviewed, classified, analyzed and suggested the future scope.

References
  1. Adlassnig, K. P. , Fuzzy Systems In Medicine. Web URL, http://www. eusflat. org/proceedings/ EUSFLAT_ 2001/ papers/002_Adlassnig. pdf.
  2. Aruna P. , Puviarasan N. , Palaniappan B. 2005. An Investigation of Neuro-Fuzzy System in Psychosomatic Disorders. Expert Systems with Applications, 28: 673-679.
  3. Liao, S. H. 2005. Expert System Methodologies And Applications: A Decade Review From 1995-2004. Expert Systems with Applications, 28: 93-103.
  4. Kuncheva, L. I. , Steimann, F. 1999. Editorial - Fuzzy Diagnosis. Artificial Intelligence in Medicine, 16:121-128.
  5. Abbod M. F. , Keyserlingk D. G. , Linkens D. A. , Mahfouf M. , 2001, Survey of Utilization of Fuzzy Technology in Medicine and Healthcare. Fuzzy Sets and Systems, 120: 331-349.
  6. Mahfouf, M. 2006. Intelligent Systems Modelling and Decision Support in Bioengineering , (Chapter 2).
  7. Phuong, N. H. , Kreinovich, V. , Fuzzy Logic & its Applications in Medicine. Web URL,http:// www. cs. utep. edu / vladik/2000/tr00-36. pdf.
  8. Smith, D. E. 1992. Expert Systems for Medical Diagnosis : A Study in Technology Transfer. Technology Transfer fall, 17, 4: 45-53.
  9. Mahfouf, M. , Abbod, M. F. , Linkens, D. A. 2001. A Survey of Fuzzy Logic Monitoring and Control Utilization in Medicine. Artificial Intelligence in Medicine, 21: 27-42.
  10. Horvitz, E. 1987. Problem-Solving Design: Reasoning About Computational Value, Tradeoffs and Resources. Proceedings of the NASA Research Forum, Mountain View, CA: 26-43.
  11. Anjaneyulu, K. S. R. 1998. Expert Systems : An Introduction. Resonance: 46-58.
  12. Adlassnig, K. P. , Kolarz, G. , Scheithauer, W. 1985. Present State of the Medical Expert System CADIAG-2. Methods of Information in Medicine, 24: 13-20.
  13. Linkens, D. A. , Abbod, M. F. , Mahfouf, M. , An Initial Survey of Fuzzy Logic in Monitoring And Cotrol Utilization in Medicine. Web URL, http://citeseerx. ist. psu. edu/viewdoc/download?doi= 10. 1. 1. 90. 5177 &rep=rep1&type=pdf.
  14. Winkel, P. 1989. The Application of Expert Systems in the Clinical Laboratory. Clinical Chemistry, 35, 8: 1595-1600.
  15. Candel, A. 1991. Fuzzy Expert Systems. CRC Press, LLC, (Chapter 1).
  16. Engle, R. L. , Flehinger, B. J. 1987. Why Expert Systems for Medical Diagnosis are not being generally used: A valedictory opinion. Bulletin of the New York Academy of Medicine, 63, 2: 193-198
  17. Ali, Z. , Singh, V. 2010. Potentials of Fuzzy Logic : An Approach To Handle Imprecise Data. American Medical Informatics Association, 2, 4: 358-361.
  18. Ameri, A. , Moshtaghi H. , Design and Development of an Expert System in Differential Diagnosis of Maxillofacial Radio-lucent Lesions. Web URL, http://www. idt. mdh. se/kurser/ct3340/archives/ht08/ papers RM08/21. pdf.
  19. Harris, G. 2006. Expert Systems - Capacity Building and Local Empowerment. Web URL, http://www. apdip. net/ apdipenote/10. pdf.
  20. Pereira, JCR, Tonelli, P. A. , Barros, L. C. , Ortega, N. R. S. 2002. Defuzzification in Medical Diagnosis. Advances in Logic, Artificial Intelligence & Robotics: 202-207.
  21. Ahmad, M. R. , Mahdi, A. A. , Salih, A. A. 2009. Designing a Disease Diagnosis System by Using Fuzzy Set Theory. Proceedings of 5th Asian Mathematical Conference, Malaysia: 256-260.
  22. Schumann, A. 2010. Unconventional Probabilities And Fuzziness In Cadiag's Computer Assisted Medical Expert Systems. Studies in Logic, Grammer & Rhetoric, 22, 35: 113-124.
  23. Koschmann, T. , Solomon, D. , Rad, F. N. , Evens, M. , Weil, M. H. , Rackow, E. C. Relational Storage Techniques Applied to a Medical Expert System. Web URL, https://e-imo. com/publications/pdfs/Rel. %20 Storage% 20Tech. pdf.
  24. Jeharon, H. , Seagar, A. , Seagar, N. 2005. Feature Extraction From Phonocardiogram For Diagnosis Based on Expert System. Int. Conf. of Proc. of IEEE Engineering in Medicine & Biology Society, 5: 5479-5482.
  25. Patra, P. S. , Sahu, D. P. , Mandal, I. 2010. An Expert System For Diagnosis of Human Diseases. Int. J. Of Computer Applications, 1, 13, 71-74.
  26. Bates, J. H. T. , Young, M. P. 2003. Applying Fuzzy Logic to Medical Decision Making in the Intensive Care Unit. American Journal of Respiratory & Critical Care Medicine, 167: 948-952.
  27. Saritas, I. , Allahverdi, N. , Sert, I. U. 2003. A Fuzzy Expert System Design for Diagnosis of Prostate Cancer. Int. Conf. on Computer Systems & Technologies: 1-7.
  28. Spitzer, K. , Thie, A. , Caplan, L. R. , Kunze, K. 1989. The Microstroke Expert System For Stroke Type Diagnosis. Journal of American Heart Association, 20, 10: 1353-1356.
  29. Torres, A. , Nieto, J. J. 2006. Fuzzy Logic in Medicine and Bioinformatics. Journal of Biomedicine and Biotechnology, 2006: 1-7.
  30. Lucas, P. , Knowledge Acquisition For Decision-Theoretic Expert System. Web URL, http://www. cs. ru. nl/ ~peterl/aisb. pdf.
  31. Biswas, D. , Bairagi, S. , Panse, N. , Shinde, N. 2011. Disease Diagnosis System. Int. J. of Computer Science & Informatics, I, II: 48-51
  32. Karaginnis, S. T. , Dounis, A. I. , Chalastras, T. , Tiropanis, P. , Papachristos, D. 2007. Design of Expert System For Search Allergy and Selection of the Skin Test Using CLIPS. Int. J. of Information Technology, 3, 2, 74-77.
  33. Seising, R. , Schuh, C. , Adlassnig, K. Medical Knowledge, Fuzzy Sets and Expert Systems. Web URL, http://cyber. felk. cvut. cz/EUNITE03 -BIO/pdf /Seising. pdf.
  34. Kiseliova, T. , Moraga, C. 2005. From Sensitivity and Specificity to Confirmation and Occurrence. EUSFLAT/LFA Proc. : 898-903.
  35. Seising, R. 2006. From Vagueness in Medical Thought to the Foundations of Fuzzy Reasoning in Medial Diagnosis. Artificial Intelligence in Medicine, 38: 237-256.
  36. Yuan, Y. , Feldhamer, S. , Gafni, A. , Fyfe, F. , Ludwin, D. 2002. The Development and Evaluation of a Fuzzy Logic Expert System for Renal Transplantation Assignment: Is This a Useful Tool ?. European Journal of Operation Research, 142: 152-173.
  37. Tadic, D. , Cvjetkovic, V. , Milovanovic, D. 2009. Determining and Monitoring of the Therapy Procedures by Application of the Artificial Intelligence Methods Relevant for Acquiring of the Quality Excellence in the Processes of the Medical Treatment. Int. J. for Quality Research, 3, 3: 1-7.
  38. Chattopadhyay, S. , Pratihar, D. K. , Sarkar, S. C. 2008. Developing Fuzzy Classifiers to Predict the Chance of Occurance of Adult Psychoses. Knowledge Based Systems, 21: 479-497.
  39. Liu, J. C. S. , Shiffman, R. N. 1997. Operationalization of Clinical Practice Guidelines Using Fuzzy Logic. American Medical Informatics Association Inc. : 283-287.
  40. Leung, K. S. , Lam, W. 1988. Fuzzy Concepts in Expert Systems. IEEE, 21, 9: 43-56.
  41. Vetterlein, T. , Ciabattoni, A. 2010. On the (fuzzy) Logical Content of CADIAG-2. Fuzzy Sets and Systems, 161: 1941-1958.
  42. Zahan, S. 2001. A Fuzzy Approach to Computer-Assisted Myocardial Ischemia Diagnosis. Artificial Intelligence in Medicine, 2: 271-275.
  43. Zarandi M. H. F. , Zolnoori M. , Moin M. , Heidarnejad H. 2010. A Fuzzy Rule Based Expert System for Diagnosing Asthama. Industrial Engineering, 17, 2: 129-142.
  44. Asghar, M. Z. , Khan, A. R. , Asghar, M. J. 2009. Computer Assisted Diagnoses For Red Eye (CADRE). Int. J. of Compouter Science & Engineering, 1, 3: 163-170.
  45. Ahmed, A. , Bigand, A. , Lethuc, V. , Allious, P. M. 2004. Visual Acuity of Vision Tested by Fuzzy Logic: An Application in Ophthalmology as a Step Towards a Telemedicine Project. Information Fusion, 5: 217-230.
  46. Hasan, M. A. , Sher-E-Alam, K. M. , Chowdhury, A. R. 2010. Human Disease Diagnosis Using a Fuzzy Expert System. Journal of Computing, 2, 6: 66-70.
  47. Djam, X. Y. , Kimbi, Y. H. 2011. Fuzzy Expert System For The Management of Hypertension. The Pacific Journal of Science and Technology, 12, 1: 390-402.
  48. Holzmann, C. A. , Perez, C. A. , Rosselot, E. 1988. A Fuzzy Model For Medical Diagnosis. Medical Progress Through Technology, 13: 171-178.
  49. Ali, A. , Mehdi, N. 2010. Fuzzy Expert System for Heart Disease Diagnosis. Proc. of Int. Multi Conference of Engineers & Computer Scientists, I: 1-6.
  50. Neshat, M. , Adeli, A. 2010. A Fuzzy Expert System For Heart Disease Diagnosis. Proc. of Int. MultiConf. of Engineers and Scientists , 1: 1-6.
  51. Zahan, S. , Bogdan, R. , Capalneanu, R. 2000. Fuzzy Expert System for Cardiovascular Disease Diagnosis: Tests & Performance Evaluation, 5th Seminar on Neural Network Applications in Electrical Engg. Ugoslavia: 65-68.
  52. Torbaghan, M. F. , Meyer, D. 1994. MEDUSA- A Fuzzy Expert System For Medical Diagnosis of Acute Abdominal Pain. Methods of Information in Medicine, 33, 5: 522-529.
  53. Adekoya, A. F. , Akinwale, A. T. , Oke, O. E. 2008. A Medical Expert System For Managing Tropical Diseases. Proc. of the Third Conference on Science & National Development: 74-86.
  54. Vaghefi, S. Y. M. , Isfahani, T. M. 2009. Roses: An Expert System For Diagnosing Six Neurologic Diseases in Children. Int. Conf. Intelligent Systems & Agents: 259-260.
  55. Singh, M. K. , Rakesh L. , Ranjan A. 2010. Evaluation of the risk of Drug Addiction with the help of Fuzzy Sets. Int. J. of Research & Reviews in Applied Sciences:,3, 2: 209-215.
  56. Oluwagbemi, O. , Adeoye, E. , Fatumo, S. 2009. Building a Computer-Based Expert System For Malaria Environmental Diagnosis : An Alternative Malaria Control Strategy. Egyptian Computer Science Journal, 33, 1: 55-69.
  57. Mitra, S. 1994. Fuzzy MLP Based Expert System For Medical Diagnosis. Fuzzy Set and Systems, 65 :285-296.
  58. Djam, X. Y. , Kimbi, Y. H. 2011. A Decision Support System for Tuberculosis Diagnosis. The Pacific Journal of Science and Technology, 12, 2: 410-425.
  59. Filho, A. R. , MDSS, Medical Diagnosis Support System. Web URL, http://www. lpa. co. uk /ftp/ribeiro. pdf.
  60. Uzoka, F. E. , Osuji, J. , Obot, O. 2011. Clinical DSS in the Diagnosis of Malaria :A case comparison of Two Soft Computing Methodologies. Expert Systems with Applications, 38 :1537-1553.
  61. Koutsojannis, C. , Hatzilygeroudis, I. 2004. FESMI- A Fuzzy Expert System for Diagnosis and Treatment of Male Impotence. Knowledge Based Intelligent Information & Engg Systems, 8th Int. Conf, KES 2004, New Zealand, 3214: 1105-1113.
  62. Phuong, N. H. 1995. Fuzzy Set Theory and Medical Expert Systems :Survey and Model. 22nd Seminar on Current Trends in Theory and Practice of Informatics Milovy, Czech Republic, 1012: 431-436.
  63. Neshat, M. , Naghibi, M. B. , Esmaelzadeh, A. 2008. Fuzzy Expert System Design For Diagnosis of Liver Disorder. Int. Symposium on Knowledge Acquisition And Modelling,:252-256.
  64. Huang, S. J. , Shieh, J. S. , Fu, M. , Kao, M. 2006. Fuzzy Logic Control for Intracranial Pressure via Continuous Propofol Sedation in a Neurosurgical Intensive Care Unit. Medical Engineering and Physics, 28: 639-647.
  65. Elkfafi, M. , Shieh, J. S. , Linkens, D. A. , Peacock, J. E. 1998. Fuzzy Logic for Auditory Evoked Response Monitoring and Control of Depth of Anaesthesia. Fuzzy Sets and Systems, 100: 29-43.
  66. Outsojannis, C. , Tsimara, M. , Nabil, E. 2008. HIROFILOS: A Medical Expert System for Prostate Diseases. Proc. of the 7th WSEAS Int. Conf. on Computational Intelligence, Man-Machine Systems and Cybernetics: 254-259.
  67. Polat, K. , Gunes, S. 2006. Automated Identification of Diseases Related to Lymph System From Lymphograpphy Data Using Artificial Immune Recognition System with Fuzzy Resource Allocation Mechanism. Biomedical Signal Processing & Control, 1: 253-260.
  68. Barro, S. , Marin, R. , Palacios, F. , Ruiz, R. 2001. Fuzzy Logic in a Patient Supervision System. Artificial Intelligence in Medicine, 21:193-199.
  69. Uncu, U. , Koklukaya, E. , Gencsoy, A. , Annadurdiyew, O. 2001. A Fuzzy Rule Based Model For Classification of Spirometric FVC Graphs in Cronical Opstructrive Pulmonary Diseases. Proc. of 23rd Annual Conf. , Turkey: 1-4.
  70. Alayon, S. , Robertson, R. , Warfield, S. K. , Alzola, J. R. 2007. A Fuzzy System for Helping Medical Diagnosis of Malformations of Cortical Development. Journal of Biomedical Informatics, 40, 3: 221-235.
  71. Kaleem, M. K. 2011. Role of Expert Systems in Digital Mammogram Processing. Int. J. of Computer Science & Tech. , 2, 2 :96-99.
  72. Nagah, U. K. , Aziz, S. A. , Aziz, M. E. , Murad, M. , Mahdi, N. M. , Shakaff, A. Y. , Isa, N. A. , Mashor, M. Y. , Arshad, M. R. 2007. A BI-RADS Based Expert Systems For The Diagnoses of Breast Diseases. American Journal of Applied Sciences, 4, 11: 865-875.
  73. Stancovici, T. G. , On An Intelligent System For Medical Diagnosis Using Electrographic Images. Web url http://www. mii. vu. lt/ADBIS/local2/Grecean. pdf.
  74. Kumar, B. H. 2007. A Fuzzy Expert System Design for Analysis of Body Sounds and Design of an Unique Electronic Stethoscope (development of HILSA kit). Biosensors and Bioelectronics, 22:1121-1125.
  75. Sadidpour, S. S. , Ghidary , S. S. 2011. Remedy Selection Based of Artificial Intelligent Methods. Int. J. of Computer Applications, 19, 9: 6-9.
  76. Hatiboglu, M. A. , Altunkaynak, A. , Ozger, M. 2010. A Predictive Tool by Fuzzy Logic for Outcome of Patients with Intracranial Aneurysm. Expert Systems with Applications, 37:1043-1049.
  77. Ament, C. , Hofer, E. P. 2000. A Fuzzy Logic Model of Fracture Healing. Journal of Biomechanics, 33: 961-968.
  78. Garibaldi, J. M. , Ozen T. 2007. Uncertain Fuzzy Reasoning : A Case Study in Modeling Expert Decision Making. IEEE Transactions on Fuzzy Systems, 15, 1:16-30.
  79. Szmidt, E. , Kacprzyk, J. 2001. Intuitionistic Fuzzy Sets in Some Medical Applications. 5th Int. Conf. on IFSs, 4 :58-64.
  80. Barna, I. 2007. Medical Multiagent systems. Interdisciplinarity in Engg Scientific Conf. , Romania, VI-9 :1-6.
  81. Papageorgiou, E. I. 2011. A New Methodology for Decisions in Medical Informatics Using Fuzzy Cognitive Maps Based on Fuzzy Rule-Extraction Techniques, Applied Soft Computing, 11 :500-513.
  82. Papageorgiou, E. I. , Medical Decision Making Through Computational Intelligent Approaches. Web URL, http://www. debugit. eu/documents/39Papageorgiou ISMIS09. pdf.
  83. Vrana, S. A. 2006. Toward Efficient Modelling of Fuzzy Expert Systems : A Survey. Agric. Econ. , Czech. , 52, 10: 456-460.
  84. Polat, K. , Gunes, S. 2007. An Expert System Approach Based on Principal Component Analysis and Adaptive Neuro-Fuzzy Inference System to Diagnosis of Diabetes Disease. Digital Signal Processing, 17 :702-710.
  85. Begum, S. A. , Devi, O. M. 2011. Fuzzy Algorithms For Pattern Recognition In Medical Diagnosis. Assam University Journal of Science & Technology : Physical Sciences and Technology, 7, II: 1-12.
  86. Zhang, D. , Chen S. 2004. A Novel Kernelized Fuzzy C-means Algorithm with Application in Medical Image Segmentation. Artificial Intelligence in Medicine, 32: 37-50.
  87. Hung, W. , Yang, M. , Chen D. , 2006. Parameter Selection for Suppressed Fuzzy C-means with an Application to MRI Segmentation. Artificial Intelligence in Medicine, 27 :424-438.
  88. Hung, W. , Chen, D. , Yang, M. , 2011. Suppressed Fuzzy-soft Learning Vector Quantization for MRI Segmentation. Artificial Intelligence in Medicine, 52, 1: 33-43.
  89. Roychowdhury, A. , Pratihar, D. K. , Bose, N. , Sankaranarayanan, K. P. , Sudhahar, N. 2004. Diagnosis of the Diseases - Using a GA-Fuzzy Approach. Information Sciences, 162 :105-120.
  90. Herrmann, C. S. , A Hybrid Fuzzy-Neural Expert System for Diagnosis. Web URL, http://ijcai. org/ Past%20 Proceedings /IJCAI-95-VOL%201/pdf/ 065. pdf.
  91. Koutsojannis, C. , Hatzilygeroudis, I. Fuzzy Evolutionary Synergism in an Intelligent Diagnosis System. Web URL, http://citeseerx. ist. psu. edu/viewdoc/download?doi=10. 1. 1. 143. 2129 &rep=rep1&type=pdf.
  92. Brasil, L. M. , Azevedo, F. M. , Barreto, J. M. . 2001. Hybrid Expert System for Decision Supporting in the Medical Area: Complexity and Cognitive Computing. Int. J. of Medical Informatics, 63: 19-30.
  93. Fan, C. Y. , Chang, P. C. , Lin, J. J. , Hsieh, J. C. 2011. A Hybrid Model Combining Case-Based Reasoning And Fuzzy Decision Tree For Medical Data Classification. Applied Soft Computing, Elsevier, 11: 632-644.
  94. Iantovics, B. L. , A Novel Diagnosis System Specialized in Difficult Medical Diagnosis Problems Solving. Web URL, http://litis. univ-lehavre. fr/~ bertelle/ proceedings/P09-iantovics_ epnads. pdf.
  95. Devi, N. 2010. Design Methodology of a Fuzzy Knowledgebase System to Predict the Risk of Diabetic Nephrology. Int. J. of Computer Science Issues, 7, 5: 239-247.
  96. Zarandi, M. H. F. , Zarinbal, M. , Izadi, M. 2011. Systematic Image Processing for Diagnosing Brain Tumors: A Type-II Fuzzy Expert System Approach. Applied Soft Computing, 11 :285-294.
  97. Baig, F. , Khan, M. S. , Noor, Y. , Imran, M. 2011 Design model of fuzzy logic medical diagnosis control system. Int. J. of Computer Science & Engineering, 3, 5 : 2093-2108.
  98. Guler, I. , Tunca, A. , Gulbandilar, E. 2008. Detection of Traumatic Brain Injuries Using Fuzzy Logic Algorithm. Expert Systems with Applications, 34: 1312-1317.
  99. Shieh, J. S. , Linkens, D. A. , Asbury, A. J. 2005. A Hierarchical System of On-line Advisory for Monitoring and Controlling the Depth of Anesthesia Using Self-Organizing Fuzzy Logic. Engineering Applications of Artificial Intelligence, 18: 307-316.
  100. Grant, P. 2007. A New Approach to Diabetic Control : Fuzzy Logic And Insulin Pump Technology. Medical Engineering & Physics, Elsevier, 29: 824-827.
  101. Lee, C. S. , Wang, M. H. 2008. Ontological Fuzzy Agent for Electrocardiogram Application. Expert System with Applications, 35: 1223-1246.
  102. Hiltner, J. , Fathi, M. , Reusch, B. 2001. An Approach to use Linguistic and Model-Based Fuzzy Expert Knowledge for the Analysis of MRT Images. Image & Vision Computing, 19: 195-206.
  103. Petersen, J. 1997. Similarity of Fuzzy Data in a Case-Based Fuzzy System in Anesthesia. Fuzzy Sets and Systems, 85: 247-262.
  104. Beevi, S. Z. , Sathik, M. M. 2010. A Robust Segmentation Approach For Noisy Medical Images Using Fuzzy Clustering With Spatia Probability. European Journal of Scientific Research, 41, 3: 437-451.
  105. Innocent, P. R. , John, R. I. 2004. Computer Aided Fuzzy Medical Diagnosis. Information Sciences, 162: 81-104.
  106. Rusnok, P. , Adlassnig, K. P. 2010. Detection of Inaccuracy in a Medical Knowledge Base Using a Classical Theorem Prover. Proc. of the Conf. Health Informatics Meet Ehealth, Vienna: 1-6.
  107. Exarchos, T. P. , Tsipouras, M. G. , Exarchos, C. P. , Papaloukas, C. , Fotiadis, D. I. , Michalis, L. K. 2007. A Methodology for the Automated Creation of Fuzzy Expert Systems for Ischaemic and Arrhythmic Beat Classification Based on a Set of Rules Obtained by a Decision Tree. Artificial Intelligence in Medicine, 40: 187-200.
  108. Tsipouras, M. G. , Exarchos, T. P. , Fotiadis, D. I. 2008. A Methodology for Automated Fuzzy Model Generation. Fuzzy Sets and Systems, 159: 3201-3220.
  109. Klinov, P. , Parsia, B. , Picado. D. The Consistency of the CADIAG-2 Knowledge Base : A Probabilistic Approach. Web URL, http://www. logic. at/ WWTF016/pdf/LPAR. pdf.
  110. Luukka, P. (2009). PCA for Fuzzy Data and Similarity Classifier in Building Recognition System for Post-Operative Data. Expert System with Applications, 36: 1222-1228.
  111. Li, D. , Liu, C. , Hu S. C. 2011. A Fuzzy-Based Data Transformation for Feature Extraction to Increase Classification Performance with Small Medical Data Sets. Artificial Intelligence in Medicine, 30: 1-8.
  112. Garibaldi, J. M. , Tilbury, J. , Ifeachor, E. C. , The Validation of a Fuzzy Expert System for Umbilical Cord Acid-base Analysis. Web URL, http://www. cs. nott. ac. uk/~jmg/papers/nnesmed-98. pdf.
  113. Ubeyli E. D. 2008. Adaptive Neuro-Fuzzy Inference System Employing Wavelet Coefficients for Detection of Ophthalmic Arterial Disorders. Expert Systems with Applications, 34: 2201-2209.
  114. Kuo, H. C. , Chang, H. K. , Wang, Y. Z. 2004. Symbiotic Evolution-Based Design of Fuzzy-Neural Diagnostic System for Common Acute Abdominal Pain. Expert Systems with Applications, 27: 391-401.
  115. Balachandran, K. , Anitha, R. 2010. Study on Fuzzy and Multi layered ADALINE approach in the pre-processing of Lung Cancer Pre-Diagnosis. Int. J. of Advanced Networking & Applications, 2, 2: 519-522.
  116. Ragab, A. H. M. , Fakeeh, K. A. , Roushdy, M. I. 2004. A Medical Multimedia Expert System for Heart Diseases Diagnosis & Training. Proc. 2nd Saudi Science Conf. , Fac. Sci. , KAU, IV: 31-45.
  117. Ubeyli, E. D. 2009. Adaptive Neuro-Fuzzy Inference System for Classification for ECG Signals Using Lyapunov Exponents. Computer Methods and Programs in Biomedicine, 93: 313-321.
  118. Ramesh, A. N. , Kambhampati, C. , Monson, J. R. T. , Drew P. J. 2004. Artificial Intelligence in Medicine. The Royal College of Surgeons of England, 86 :334-338.
  119. Keles, A. , Keles, A. , Yavuz, U. 2011. Expert System Based on Neuro-Fuzzy Rules for Diagnosis Breast Cancer. Expert System with Applications, 38 :5719-5726.
  120. Eklund, P. , Fuller, R. (1994). A Neuro-Fuzzy Approach to Medical Diagnosis. Fuzzy Systems & Artificial Intelligence, 3 :53-56.
  121. Polat, K. , Sahan, S. , Kodaz, H. , Gunes, S. 2007. Breast Cancer and Liver Disorders Classification Using Artificial Immune Recognition System (AIRS) with Performance Evaluation by Fuzzy Resource Allocation Mechanism. Expert Systems with Applications, 32 : 173-183.
  122. Dragulescu, D. 2007. Medical Predictions System. Acta Polytechnica Hungarica, 4, 3: 89-101.
  123. Chowdhury, S. R. , Saha, H. 2010. Development of a FPGA Based Fuzzy Neural Network System for Early Diagnosis of Critical Health Condition of a Patient. Computers in Biology and Medicine, 40: 190-200.
  124. Balachandran, K. , Anitha, R. 2010. Supervisory Expert System Approach for Pre-Diagnosis of Lung Cancer. International Journal of Advanced Engineering & Applications: 177.
  125. Shayea, Q. K. 2011. Artificial Neural Networks in Medical Diagnosis. Int. J of Computer Science, 8, 2: 150-154.
  126. Imianvan. A. A. 2011. Fuzzy Cluster Means Expert System For The Diagnosis of Tuberculosis. Global Journal of Computer Science & Technology, 11, 6: 40-48.
  127. Moein, S. , Monadjemi, S. A. , Moallem, P. 2008. A Novel Fuzzy-Neural Based Medical Diagnosis System. Int J. of Biological & Life Sciences, 4, 3: 146-150.
  128. Ubeyli, E. D. . 2009. Automatic Detection of Electroencephalographic Changes Using Adaptive Neuro-Fuzzy Inference System Employing Lyapunov Exponents. Expert Systems with Applications, 36: 9031-9038.
  129. Lee, J. J. , Song, B. H. , Kim, T. Y. , Seo, D. W. , Bae, S. H. (2008). A Design and Implementation of U-health Diagnosis System Using Expert System and Neural Network. Int. J. of Future Generation Communication and Networking, 1, 1: 83-90.
  130. Rutkowska, D. , Perception-Based Systems For Medical Diagnosis. Web URL, http://www. eusflat. org / proceedings /EUSFLAT_2003/ papers /1Rutkowska. pdf.
  131. Hatzilygeroudis, I. , Vassilakos, P. J. , Tsakalidis, A. 1997. XBONE: A Hybrid Expert System. Proc. of the Medical Informatics'97: 1-6.
  132. Nazmy, T. M. , Messiry, H. E. , Bokhity, B. A. 2010. Classification of Cardiac Arrhythmia Based on Hybrid System. Int. J. of Computer Applications, 2, 4: 18-23.
  133. Prasad, B. D. C. N. , Prasad, P. D. S. N. , Sagar, Y. 2011. An Approach To Develop Expert Systems In Medical Diagnosis Using Machine Learning Algorithms (Asthma) And A Performance Study. Int. Journal of Soft Computing, 2, 1: 26-33.
  134. Sohel, F. A. , A New Neural Network with Fuzzy Technique: Disease Diagnosis, A Case Study. Web URL, http://www. personal. gscit. monash. edu. au/~ sohel/Papers/iccit/211_neurofuzzy. pdf. doc.
  135. Guler, I. , Ubeyli, E. D. 2004. Application of Adaptive Neuro-Fuzzy Inference System for Detection of Electrocardiographic changes in Patients with Partial Epilepsy Using Feature Extraction. Expert Systems with Applications, 27: 323-330.
  136. Huang, M. L. , Chen, H. Y. , Huang, J. J. 2007. Glaucoma Detection Using Adaptive Neuro-Fuzzy Inference System. Expert Systems with Applications, 32: 458-468.
  137. Ramya, R. , Anandanataraj, R. 2009. Application of Neuro-Fuzzy Network For The Analyzing The Pain Through Facial Expression. Int. J. of Recent Trends in Engineering, 2, 4: 8-10.
  138. Guler, I. , Ubeyli, E. D. 2005, Automatic Detection of Opthalmic Artery Stenosis Using the Adaptive Neuro-Fuzzy Inference System, Engineering Applications of Artificial Intelligence, 18: 413-422.
  139. Tsipouras, M. G. , Voglis, C. , Fotiadis, D. I. 2007. A Framework for Fuzzy Expert System Creation - Application to Cardiovascular Diseases. IEEE Transactions Biomedical Engg. , 54, 11: 2089-2105.
  140. Binaghi, E. , Gallo, I. , Ghiselli, C. , Levrini, L. , Biondi, K. 2008. An Integrated Fuzzy Logic And Web-Based Framework For Active Protocol Support. International Journal of Medical Informatics, 77: 256-271.
  141. Snae, C. , Brueckner, M. 2008. Personal Health Assistance Service Expert System. World Academy of Science, Engineering and Technology : A Biological & Biomedical Sciences, 4, 2: 109-112.
  142. Tomar, P. P. , Saxena, P. K. 2011. Architecture For Medical Diagnosis Using Rule-Based Technique. First Int. Conf. on Interdisciplinary Research & Development, Thailand, 25: 1-25. 5.
  143. Farshchi, S. M. R. , Yaghoobi, M. 2011. Fuzzy Logic Expert Systems in Hospital : A Foundation View. Journal of Applied Sciences : 1-5.
  144. Lin, F. , Ying, H. , MacArthur, R. D. , Cohn, J. A. , Jones, D. B. , Crane, L. R. 2007. Decision Making in Fuzzy Discrete Event Systems. Information Sciences, 177: 3749-3763.
  145. Chu, W. H. 1988. Generic Expert System Shell For Diagnostic Reasoning. Proc. of 1st Int. Conf. on Industrial and engineering applications of artificial intelligence & expert systems, NY, 1: 7-12.
  146. Steimann, F. , Adlassnig, K. P. , Fuzzy Medical Diagnosis. Web URL, http://citeseerx. ist. psu. edu/viewdoc/download?doi=10. 1. 1. 47. 9705&rep=rep1&type=pdf.
  147. Abraham, A. , 2005. Rule-based Expert Systems, Handbook of Measuring System Design. John Wiley & Sons: 909-919.
  148. Jung, I. , Wang, G. 2007. User Pattern Learning Algorithm based MDSS (Medical Decision Support System) Framework under Ubiquitous. World Academy of Science, Engineering and Technology, 36: 184-188.
  149. Muino, D. P. , A Probabilistic Interpretation of the Medical Expert System CADIAG-2. Web URL, http://www. logic. at/WWTF016/PaperCadiag2Probability. pdf.
  150. Akbarzadeh, M. R. , Khorasani, M. M. 2007. A Hierarchical Fuzzy Rule-Based Approach to Aphasia Diagnosis. Journal of Biomedical Informatics, 40: 465-475.
  151. Berman, L. , Cullen, M. R. , Miller, P. L. 1992. Automated Integration of External Databases : A Knowledge-Based Approach to Enhancing Rule-Based Expert Systems. Proc. Annu Symp Comput Appl Med Care: 227-233.
  152. Pan, J. , DeSouza, G. N. , Kak, A. C. 1998. Fuzzy Shell : A Large-Scale Expert System Shell Using Fuzzy Logic for Uncertainty Reasoning. IEEE Transactions on Fuzzy Systems, 6, 4: 563-68.
  153. Banerjee, A. , Majumdar, A. K. , Basu, A. 1994. A Fuzzy Expert System Approach Using Multiple Experts For Dynamic Follo-up of Endemic Diseases. Sadhana, India, 19, 1: 51-73.
  154. Seising, R. 2004. A History of Medical Diagnosis Using Fuzzy Relations, Fuzziness in Finland'04: 1-5.
  155. Wain, R. A. , Tuhrim, S. , D'Autrechy, L. , Reggia, J. A. 1992. The Design and Automated Testing of an Expert System for the Differential Diagnosis of Acute Stroke. American Medical Informatics Association:94-98.
  156. Ciabattoni, A. , Vetterlein, T. , Adlassnig, K. 2009. A Formal Logical Framework for Cadiag-2. Studies in Health Technology & Informatics, 150: 648-652.
  157. Boegl, K. , Adlassnig, K. P. , Hayashi, Y. , Rothenfluh, T. E. , Leitich, H. 2004. Knowledge Acquisition in the Fuzzy Knowledge Representation Framework of a Medical Consultation System. Artificial Intelligence in Medicine, 30: 1-26.
  158. Masulli, F. , Schenone, A. (1999). A Fuzzy Clustering Based Segmentation System as Support to Diagnosis in Medical Imaging. Artificial Intelligence in Medicine, 16: 129-147.
  159. Isik, H. , Arslan, S. 2011. The Design of Ultrasonic Therapy Device via Fuzzy Logic. Expert Systems with Applications, 38: 7342-7348.
  160. Kerdprasop, N. , Kerdprasop, K. 2011. Higher Order Programming to Mine Knowledge for a Modern Medical Expert System. Int. J. of Computer Science, 8, 3, 64-72.
  161. Owaied, H. H. , Qasem, M. M. 2010. Developing Rule-Case-Based Shell Expert System. Proc. of Int. MultiConf. of Engineers and Scientists ,1.
  162. Qu, Y. , Fu, T. , Qiu, H. 2008. A Fuzzy Expert System Framework Using Object Oriented Techniques. IEEE Pacific Asia Workshop on Computational Intelligence and Industrial Applications, 2: 474-477.
  163. Badawi, A. M. , Derbala, A. S. , Youssef, A. M. 1999. Fuzzy Logic Algorithm for Quantitative Tissue Characterization of Diffuse Liver Diseases From Ultrasound Images. Int. J. of Medical Informatics, 55, 135-147.
  164. Saleh, A. A. E. , Barakat, S. E. , Awad, A. A. E. 2011. A Fuzzy Support System for Management of Breast Cancer. International Journal of Advanced Computer Science and Applications, 2, 3, 34-40.
  165. Uzoka, F. E. , Obot, O. , Barker, K. , Osuji, J. 2010. An Experimental Comparison of Fuzzy Logic and Analytic Hierarchy Process for Medical Decision Support Systems. Computer Methods and Programs in Biomedicine, 30.
  166. Radha, R. , Rajagopalan, S. P. 2007. Fuzzy Logic Approach For Diagnosis of Diabetis. Information Technology Journal, 6, 1, 96-102.
  167. Park, M. , Wilson, L. S. , Jin, J. S. 2000. Automatic Extraction of Lung Boundaries by a Knowledge Based Method. Conferences in Research and Practice in Information Technology, Australia, 2, 1-6.
  168. Neshat, M. , Yaghobi, M. , Naghibi, M. B. , Esmaelzadeh, A. 2008. Fuzzy Expert System Design for Diagnosis of Liver Disorders. Int. Symposium on Knowledge Acquisition And Modelling, KAM, 252-256.
  169. Mahdi, A. A. , Razali, A. M. , Salih, A. A. 2011. The Diagnosis of Chicken Pox and Measles Using Fuzzy Relations. Journal of Basic & Applied Scientific Research, 1, 7, 679-686.
  170. Koutsojannis, C. , Tsimara, M. , Nabil, E. 2008. HIROFILOS: A Medical Expert System for Prostate Diseases. Proc. of the 7th WSEAS Int. Conf. on Computational Intelligence, Man-Machine Systems & Cybernetics (CIMMACS '08), 254-259.
  171. Djam, X. Y. , Wajiga, G. M. , Kimbi, Y. H. , Blamah, N. V. 2011. A Fuzzy Expert System For The Management of Malaria. Int. J. of Pure Applied Sciences And Technology, 5, 2, 84-108.
  172. Downs, J. , Harrison, R. F. , Kennedy, R. L. 1996. Application of the Fuzzy ARTMAP Neural Network Model to Medical Pattern Classification Tasks. Artificial Intelligence in Medicine, 8, 403-428.
Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy expert systems Medical diagnosis Neuro-fuzzy systems Fuzzy shells Fuzzy frameworks