Artificial Intelligence in Medicine
Volume 47, Issue 1 , Pages 53-62 , September 2009

An intelligent model for liver disease diagnosis

  • Rong-Ho Lin

      Affiliations

    • Corresponding Author InformationTel.: +886 2 27712171x3414; fax: +886 2 27763964.

Received 6 March 2008 ,Revised 29 April 2009 ,Accepted 10 May 2009.

References 

  1. List of top-10 leading causes of death by the health department of Taiwan. 2006;http://www.doh.gov.tw/CHT2006/DisplayStatisticFile.aspx?d=64340 [accessed: 20 December 2007]
  2. Luk JM, Lam BY, Lee NPY, Ho DW, Sham PC, Chen L, et al. Artificial neural networks and decision tree model analysis of liver cancer proteomes. Biochemical and Biophysical Research Communications. 2007;361:68–73
  3. Omagari K, Kadokawa Y, Masuda J, Egawa I, Sawa T, Hazama H, et al. Fatty liver in non-alcoholic non-overweight Japanese adults: incidence and clinical characteristics. Journal of Gastroenterology and Hepatology. 2002;17:1098–1105
  4. Akahoshi M, Amasoki Y, Soda M. Correlation between fatty liver and coronary risk factors: a population study of elderly men and women in Nagasaki, Japan. Hypertension Research. 2001;24:337–343
  5. Tan K, Yu Q, Heng C, Lee TH. Evolutionary computing for knowledge discovery in medical diagnosis. Artificial Intelligence in Medicine. 2003;27:129–154
  6. Becerra-Fernandez I. The role of artificial intelligence technologies in the implementation of people-finder knowledge management systems. Knowledge Management Systems. 2000;13:315–320
  7. Cios KJ, Moore GW. Uniqueness of medical data mining. Artificial Intelligence in Medicine. 2002;26:1–24
  8. Evans CD. A case-based assistant for diagnosis and analysis of dysmorphic syndromes. International Journal of Medical Informatics. 1995;20:121–131
  9. Schmidt R, Gierl L. Case-based reasoning for antibiotics therapy advice: an investigation of retrieval algorithms and prototypes. Artificial Intelligence in Medicine. 2001;23:171–186
  10. Sacha JP, Cios KJ, Goodenday LS. Issues in automating cardiac SPECT diagnosis. IEEE Engineering in Medicine and Biology Magazine. 2000;19:78–88
  11. Kukar M, Kononenko I, Silvester T. Machine learning in prognosis of the femoral neck fracture recovery. Artificial Intelligence in Medicine. 1996;8:431–451
  12. Setiono R. Extracting rules from pruned neural networks for breast cancer diagnosis. Artificial Intelligence in Medicine. 1996;8:37–54
  13. Nakano H, Okamoto Y, Nakabayashi H, Takamatsu S, Tsujii H. Application of neural network to the interpretation of laboratory data for the diagnosis of two forms of chronic active hepatitis. International Hepatology Communications. 1996;5:160–165
  14. Kim YS, Sohn SY, Yoon CN. Screening test data analysis for liver disease prediction model using growth curve. Biomedicine and Pharmacotherapy. 2003;57:482–488
  15. Çomak E, Polat K, Güneş S, Arslan A. A new medical decision making system: least square support vector machine (LSSVM) with fuzzy weighting pre-processing. Expert Systems with Applications. 2007;32:409–414
  16. Breiman L, Friedman JH, Olshen RA, Stone CI. Classification and regression trees. Belmont, CA: Wadsworth International Group; 1984;
  17. Steinburg D, Colla P. CART—classification and regression trees. San Diego, CA: Salford Systems; 1997;
  18. Schank RC, Abelson RP. Scripts, plans, goals and understanding. Hillsdale, NJ: Lawrence Erlbaum Association; 1977;
  19. Aamodt A, Plaza E. Case-based reasoning: foundational issues, methodological variations, and system approaches. Artificial Intelligence Communications IOS Press. 1994;7:39–59
  20. Kolodner J. Case-based reasoning. San Mateo, CA: Morgan Kaufmann Publishers; 1993;
  21. Althoff KD, Bergmann R, Wess S, Manago M, Auriol E, Larichev OI, et al. Case-based reasoning for medical decision support tasks: the Inreca approach. Artificial Intelligence in Medicine. 1998;12:25–41
  22. Holt A, Bichindaritz I, Schmidt R, Perner P. Medical applications in case-based reasoning. The Knowledge Engineering Review. 2006;20:289–292
  23. López B, Plaza E. Case-based learning of plans and goal states in medical diagnosis. Artificial Intelligence in Medicine. 1997;9:29–60
  24. Mariuzzi GM, Mombello A, Mariuzzi L, Hamilton PW, Weber JE, Thompson D. Quantitative study of ductal breast cancer patient targeted prognosis: an exploration of case-base reasoning. Pathology Research and Practice. 1997;193:535–542
  25. Frize M, Walker R. Clinical decision-support systems for intensive care units using case-based reasoning. Medical Engineering and Physics. 2000;22:671–677
  26. Bilska-Wolak AO, Floyd CE. Development and evaluation of a case-based reasoning classifier for prediction of breast biopsy outcome with BI-RADS lexicon. Medical Physics. 2002;29:2090–2100
  27. Marling C, Rissland E, Aamodt A. Integrating with case-based reasoning. The Knowledge Engineering Review. 2006;20:241–245
  28. Gierl L. ICONS: cognitive basic functions in a case-based consultation system for intensive care. In:  Andreassen S, et al. editor. Proceedings of the artificial intelligence in medicine. Amsterdam: IOS Press; 1993;p. 230–236
  29. Montani S, Magni P, Bellazzi R, Larizza C, Roudsari ER. Integrating model-based decision support in a multi-modal reasoning system for managing type I diabetic patients. Artificial Intelligence in Medicine. 2003;29:131–151
  30. Bichindaritz I, Marling C. Case-based reasoning in the health sciences: what's next?. Artificial Intelligence in Medicine. 2006;36:127–135
  31. Schmidt R, Montani S, Bellazzi R, Portinale L, Gierl L. Case-based reasoning for medical knowledge-based systems. International Journal of Medical Informatics. 2001;64:355–367
  32. Gierl L, Bull M, Schmidt R. CBR in medicine. In:  Lenz M,  Bartsch-Sporl B,  Burkhard HD,  Wess S editor. Case-based reasoning technology: from foundations to applications. Berlin: Springer-Verlag; 1998;p. 273–297
  33. Nilsson M, Sollenborn M. Advancements and trends in medical case-based reasoning: an overview of systems and system development. In:  Barr V,  Markov Z editor. Proceedings of the 17th international Florida artificial intelligence research society conference—special track on case-based reasoning. Menlo Park, CA: AAAI Press; 2004;p. 178–183
  34. Baesens B, Van Gestel T, Viaene1 S, Stepanova M, Suykens J, Vanthienen J. Benchmarking state-of-the-art classification algorithms for credit scoring. Journal of the Operational Research Society. 2003;54:627–635
  35. Zhang G, Hu MY, Patuwo BE, Indro DC. Artificial neural networks in bankruptcy prediction: general framework and cross validation analysis. European Journal of Operational Research. 1999;116:16–32

PII: S0933-3657(09)00080-3

doi: 10.1016/j.artmed.2009.05.005

Artificial Intelligence in Medicine
Volume 47, Issue 1 , Pages 53-62 , September 2009

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