Artificial Intelligence in Medicine
Volume 43, Issue 3 , Pages 167-177 , July 2008

Case-based estimation of the risk of enterobiasis

  • Mare Remm

      Affiliations

    • Tartu School of Health Care, Nooruse 9, 50411 Tartu, Estonia
    • Institute of Ecology and Earth Sciences, University of Tartu, Vanemuise 46, 51014 Tartu, Estonia
    • Corresponding Author InformationCorresponding author at: Tartu School of Health Care, Nooruse 9, 50411 Tartu, Estonia. Tel.: +372 7381649; fax: +372 7 381 646.
    • ,
  • Kalle Remm

      Affiliations

    • Institute of Ecology and Earth Sciences, University of Tartu, Vanemuise 46, 51014 Tartu, Estonia

Received 20 May 2007 ,Revised 30 March 2008 ,Accepted 6 April 2008.

References 

  1. Gale EAM. A missing link in the hygiene hypothesis?. Diabetologia. 2002;45:588–594
  2. Remm M. Distribution of enterobiasis among nursery school children in SE Estonia and of other helminthiases in Estonia. Parasitol Res. 2006;99:729–736
  3. John FC, Sung RS, Lin KC, Huang SY, Wang Y-JL. Pinworm control and risk factors of pinworm infection among primary-school children in Taiwan. Am J Trop Med Hyg. 2001;65:558–562
  4. Pezzani BC, Minvielle MC, de Luca MM, Córdoba MA, Apezteguía MC, Basualdo JA. Enterobius vermicularis infection among population of General Mansilla, Argentina. World J Gastroenterol. 2004;10:2535–2539
  5. Song H-J, Cho C-H, Kim J-S, Choi M-H, Hong S-. Prevalence and risk factors for enterobiasis among preschool children in a metropolitan city in Korea. Parasitol Res. 2003;91:46–50
  6. Tei S, Kitajima N, Ohara S, Inoue Y, Miki M, Yamatani T, et al. Consumption of uncooked deer meat as a risk factor for hepatitis E virus infection: an age- and sex-matched case–control study. J Med Virol. 2004;74:67–70
  7. Aha DW. The omnipresence of case-based reasoning in science and application. Knowledge-Based Syst. 1998;11:261–273
  8. Park Y-J, Kim B-C, Chun S-H. New knowledge extraction technique using probability for case-based reasoning: application to medical diagnosis. Expert Syst. 2006;23:2–20
  9. Bichindaritz I, Montani S, Portinale L. Special issue on case-based reasoning in the health sciences. Appl Intell. 2008;28:207–209
  10. Schmidt R, Montani S, Bellazzi R, Portinale L, Gierl L. Cased-based reasoning for medical knowledge-based systems. Int J Med Inform. 2001;64:355–367
  11. Bichindaritz I, Marling C. Case-based reasoning in the health sciences: what's next?. Artif Intell Med. 2006;36:127–135
  12. Holt A, Bichindaritz I, Schmidt R, Perner P. Medical applications in case-based reasoning. Knowl Eng Rev. 2005;20:289–292
  13. Hoelzer S, Waechter W, Stewart A, Liu R, Schweiger R, Dudeck J. Towards case-based performance measures: uncovering deficiencies in applied medical care. J Eval Clin Pract. 2001;7:355–363
  14. Althoff K, Bergmann R, Wess S, Manago M, Auriol E, Larichev OI, et al. Case-based reasoning for medical decision support tasks: the Inreca approach. Artif Intell Med. 1998;12:25–41
  15. Frize M, Walker R. Clinical decision-support systems for intensive care units using case-based reasoning. Med Eng Phys. 2000;22:671–677
  16. Schmidt R, Waligora T. Using prototypical cases and prototypicality measures for diagnosis of dysmorphic syndromes. Lecture Notes Comput Sci. 2006;4251:326–333
  17. Schmidt R, Gierl L. Case-based reasoning for antibiotics therapy advice: an investigation of retrieval algorithms and prototypes. Artif Intell Med. 2001;23:171–186
  18. Xu LD, Li LX. A hybrid system applied to epidemic screening. Expert Syst. 2000;17:81–89
  19. Schmidt R, Waligora T, Gierl L. Predicting influenza waves with health insurance data. Comput Intell. 2006;22:3224–3237
  20. Cox K. Stories as case knowledge: case knowledge as stories. Med Educ. 2001;35:862–866
  21. Coderre S, Mandin H, Harasym PH, Fick GH. Diagnostic reasoning strategies and diagnostic success. Med Educ. 2003;37:695–703
  22. Armengol E, Palaudàries A, Plaza E. Individual prognosis of diabetes long-term risks: a CBR approach. Methods Inf Med. 2001;40:46–51
  23. Gottrup C, Thomsen K, Locht P, Wu O, Sorensen AG, Koroshetz WJ, et al. Applying instance-based techniques to prediction of final outcome in acute stroke. Artif Intell Med. 2005;33:223–236
  24. 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. AAAI Press, Menlo Park, CA. 2004;p. 178–183
  25. Remm K. Case-based predictions for species and habitat mapping. Ecol Model. 2004;177:259–281
  26. Ahn H, Kim K. Global optimization of case-based reasoning for breast cytology diagnosis, Expert Syst Appl, in press, doi:10.1016/j.eswa.2007.10.023.
  27. Allouche O, Tsoar A, Kadmon R. Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS). J Appl Ecol. 2006;43:1223–1232
  28. Yoon H-J, Choi Y-J, Lee S-U, Park H-Y, Huh S, Yang Y-S. Enterobius vermicularis egg positive rate of pre-school children in Chunchon, Korea (1999). Korean J Parasitol. 2000;38:279–281
  29. Remm M, Vipp H. Distribution of enterobiasis among nursery children in Estonia and estimation of usefulness of recurrent sampling. Laboratorine Medicina. 2006;1:44
  30. Park J-H, Han E-T, Kim W-H, Shin E-H, Guk S-M, Kim J-L, et al. A survey of Enterobius vermicularis infection among children on western and southern coastal islands of the Republic of Korea. Korean J Parasitol. 2005;43:129–134
  31. Çeliksöz A, Aciöz M, Değerli S, Alim A, Aygan Ç. Egg positive rate of Enterobius vermicularis and Taenia spp. by cellophane tape method in primary school children in Sivas, Turkey. Korean J Parasitol. 2005;43:61–64
  32. Cazorla D, Acosta E, Garcia M, Garvett M, Ruiz A. Enterobius vermicularis infection in preschool and schoolchildren of six rural communities from a semiarid region of Venezuela: a clinical and epidemiological study. Helmintologia. 2006;43:81–85
  33. Acosta M, Cazorla D, Garvett M. Enterobiasis among schoolchildren in a rural population from Estado Falcon, Venezuela, and its relation with socioeconomic level. Invest Clin. 2002;43:173–181

PII: S0933-3657(08)00041-9

doi: 10.1016/j.artmed.2008.04.002

Artificial Intelligence in Medicine
Volume 43, Issue 3 , Pages 167-177 , July 2008

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