Yearb Med Inform 1999; 08(01): 161-165
DOI: 10.1055/s-0038-1637919
Commentary
Georg Thieme Verlag KG Stuttgart

The Promises and Perils of Modelling Medical Reasoning

Reflections on E.H. Shortliffe and B.G. Buchanan's paper: A model of Inexact Reasoning in Medicine
J.C. Wyatt
1   University College, London, UK
› Author Affiliations
Further Information

Publication History

Publication Date:
10 March 2018 (online)

 
  • References

  • 1 Shortliffe EH, Buchanan BG. A model of inexact reasoning in medicine. Math Biosci 1975; 3: 351-79.
  • 2 Shortliffe EH. Computer-Based Medical Consultations: MYCIN. New York: Ellie vier North-Holland; 1976
  • 3 Van Melle W. EMYCFN- a oomain independent production system for consultation programs. In Proceedings 6th IJCAJ, 1979. Dept -of Computer Science, Stanford Univenity 1979; 923-25.
  • 4 McDermott J. R I: the formative years. AI Mag 1981; 2: 21-9.
  • 5 Bachant J, McDermott J. RI revisited: four years in the trenches. AI Mag 1984; 5: 21-32.
  • 6 Hayes-Roth F, Waterman D, Lenat D. eds. Building Expert Systems. Wokingham: Addison Wesley 1983
  • 7 Clancey W. Shortliffe BHReading in Medical Artificial Intelligence. Wokingbarn: Addison Wesley; 1984
  • 8 Lauritzen SL, Spiegelhalter OJ. Local computation on graphical structures and their application to expert systems (with discussion). J Roy Stat Soc B Met 1988; 50: 157-224.
  • 9 Beinlich l A, Suermondt HJ, Chavez RM, Cooper GF. The ALARM monitoring system: a case study with two probabilistic inference techniques for belief networks. In:. Hunter J, Cookron J, Wyatt J. eds. Poc Second European Coifon Artijicinl lntelligene in Medicine. Heidelberg: Springer Verlag; 1989: 247-58.
  • 10 Clancey WJ, Letsinger R. NEOMYCIN: reconfiguring a rule-based expert system for application to teaching. In: Proc Sev enth lnlemational Joint Conf on Artificial intelligence. Los Ahos: William Kaufman Inc; 1981: 829-36.
  • 11 Clancey W. The epistemology of a rulebased system: a framework for explanation. Artif Intell 1983; 20: 215-51.
  • 12 Aikins JS. Prototypical knowledge for expert systems. Artif lntell 1983; 20: 163-210..
  • 13 Wyatt JC. Medical informatics: artefat or science?. Methlnfonn Med 1996; 35: 11-200.
  • 14 Jaescbke R, Guyatt GH, Sackett DL. Usersguides to the medical literature Ill. How to usc an article about a diagnostic test: B. What are the results and will they help in caring for my patients?. JAMA 1994; 271: 703-7.
  • 15 Timpta T, Arborelius E. The GP’s dllemma: a study of knowledge need and use during health care consult. arions. Meth Inform Med 1990; 29: 23-9.
  • 16 Smith R. What clinical information do doctors need?. BMJ 1996; 313: 1062-8.
  • 17 Haynes R, McKibbon K, Walker C, Ryal N, Fitzgerald D, Ramsden M. Online accessto MEDLINE in a clinical setting. Ann lnt Med 1990; 112: 78-84.
  • 18 Heatbfield HA, Wyatt J. Philosophies for the design and development of clinical decision-support systems. Meth Infonn Mel 1993; 32: l-8.
  • 19 Hunt DL, Haynes RB, Hanna SE, Smith K. Effects of computer-based clinical decision support systems on physician performance and patient outcomes: a systematic review. JAMA 1998; 280: 1339-46.
  • 20 Sackett DL. Rules of evidence and clinical recommendations for use of antithrombotic agents. Arch Intern Med 1986; 146: 464-1.
  • 21 Sackett DL, Rosenberg WM, Gray JAM, Haynes RB, Richardson WS. Evidence based medicine: what it is and what it isn’t (editorial). BMJ 1996; 312: 71-2.
  • 22 Sackett DL, Richardson WS, Rosenberg WM, Haynes RB. Evidence-Based Medicine. London: Churchill Li vingstone; 1997
  • 23 Wyatt JC, Wright P.. Medical Records 1: Design should help use of patient date Lancet. 1998; 1375-8.
  • 24 Eddy DM. Anatomy of a Decision. JAMA 1990; 263: 441-3.
  • 25 Wallace S, Taylor P. Wyan J Telemedicine in the NHS for the millenium and beyond Postgrad Med J. 1998 in press.
  • 26 Doubilet P, McNeil BJ, Weinstein MC. Optimal strategies for the diagnosis and treatment of coronary artery disease: analysis using a microcomputer. Med Decis Making 1983; 3: 23-8.
  • 27 Dyer C. Litigation for medical accidents BMJ. 1988; 296: 1058-9.
  • 28 Spiegelhalter D, Knill-Jones R. Statistical and knowledge-based approaches to clinical decision support systems, with an application in gastroenterology. J Roy Stat Soc A Sta 1984; 147: 35-77.
  • 29 Hovorka R, Andreassen S, Benn JJ, Olesen KG, Carson ER. Causal probabilistic network modelling an illustration of its role in the mat Ulgement of chronic diseases IBM Syst J. 1992; 31: 635-48.
  • 30 Jngram D. Educational computing andmedipine. In:. Dalton K, Chard T. eds. Computers In Obstetrics and Gynaecology. Amsterdam: Elsevier Science; 1990: 313-28.
  • 31 Ohno-Machado L, Gennari JH, Murphy SN, Jain NL, Tu SW, Oliver DE. et al The guideline interchange format: a model for representing guidelines. J Am Med Inform Assoc 1998; 5: 357-72.
  • 32 Davis DA, Thomson MA, Oxman AD, Haynes RB. A systematic review of the effect of continuingmedical education strategies. JAMA 1995; 274: 700-5.
  • 33 Fagan TJ. Nomogram for Bayes Theorem. New Eng J Med 1975; 293: 257
  • 34 Sackett DL. A primer on the precision and accuracy of the clinical examination. JAMA 1992; 267: 2638-44.
  • 35 Friedman C, Wyatt J. Evaluation Methods in Medical Infonnatics. New York: Springer Verlag; 1997
  • 36 Wyatt JC. Clinical data systems, Part I: Data and medical records. Lancet 1994; 344: 1543-47.
  • 37 Wyatt JC. Telemedicine trials: clinical pull or technology push ?BMJ. 1996; 313: 380-81..
  • 38 Wyatt JC. Four barriers to realising the information revolution in health care. Chapter 5. In: Lenaghan J. ed Rethinking IT and Health.. London: Institute for Public Policy Research; 1998: 100-22.
  • 39 Wyatt JC, Spiegelhalter D. Evaluating medical expert systems: what to test and how?. Med Inform 1990; 15: 205-17.
  • 40 Nygren E, Wyatt JC, Wright P. Medical Records 2: Helping clinicians find information and avoid delays. Lancet 1998; 352: 1462-6.
  • 41 Norman DA. The Design of Everyday Things. New York: Doubleday Inc; 1990
  • 42 Leape LL, Woods DD, Hatlie MJ, Kizer KW, Schroader SA, Lundberg GD. Promoting pateint safety by preventing medical error. JAMA 1998; 280: 1444-7.
  • 43 Wyatt JC. Lessons learned from the field trial of ACORN, an expert system to advise on chest pain. In Barber B, Cao D, Qin D, Wagner G. eds. Proceedings of Sixth World Conference on Medical Informatics. Amsterdam: North Holland; 1989: 111-5.
  • 44 Adams ID, Chan M, Clifford PC et al. Computer aided diagnosis of acute abdominal pain: a multicentre study. BMJ 1986; 293: 800-4.
  • 45 Spiegelhalter D, Harris N, Bull K, Franklin R. Empirical Evaluation of Prior Beliefs about Frequencies: Methodology and a Case Study in Congenital Heart Disease. MRC Biostatistics Unit, Cambridge, England: BAIES Report BR-24; 1991
  • 46 Breiman L, Friedman JH, Olshen RA. et al. Classification and Regression Trees. Belmont, Ca: Wadsworth International; 1984
  • 47 Spiegelhalter D, Knill-Jones R. Statistical and knowledge-based approaches to clinical decision support systems, with an application in gastroenterology. J Roy Stat Soc A 1984; 147: 35-77.
  • 48 ONeill M, Glowinski A. Evaluating and validating very large knowledge-based systems. Med Inform 1990; 15: 237-52.
  • 49 Wyatt JC. Nervous about artificial neural networks ? (editorial). Lancet 1995; 346: 1175-7.
  • 50 Knaus WA, Wagner DP, Lynn J. Shortterm mortality predictions for critically ill hospitalised adults: science and ethics. Science 1991; 254: 389-94.
  • 51 Heckerman D, Horwitz E. The myth of modularity in rule-based systems. In Lemmer J, Kanal L. eds. Uncertainty in AI 2.. Amsterdam: Elsevier Science; 1988: 115-21..
  • 52 ONeill MF, Glowinski A, Fox J. A symbolic theory of decision-making applied to several medical tasks. In:. Hunter J, Cookson J, Wyatt J. eds. Proc AJME-89. Heidelberg: Springer Verlag; 1989: 62-71.
  • 53 Miller RA, Masarie FE. The demise of the Greek oracle model for medical diagnosis systems. Meth Inform Med 1990; 29: 1-2.
  • 54 Wyatt JC, Keen JR. The NHS’s new information strategy (editorial). BMJ 1998; 317: 900