Yearbook of Medical Informatics, Inhaltsverzeichnis Yearb Med Inform 1997; 06(01): 419-423DOI: 10.1055/s-0038-1639689 Synopsis Georg Thieme Verlag KG Stuttgart Decision Support Systems C.F. Aliferis 1 Section of Medical Informatics, Department of Medicine, Pittsburgh, U.S.A. › Institutsangaben Artikel empfehlen Abstract Volltext Referenzen References 1 Miller RA. Medical diagnostic decision support systemspast, present, and future: a threaded bibliography and brief commentary. J.. Am Med Inform As soc 1994; 1: 8-27 2 Shortliffe EH. The adolescence of AI in medicine: Will the field come of age in t '90s?. Artif Intell Med 1993; 5: 93-106 3 Weiss SM, Kulikowski CA. Computer Systems that Learn.. San Francisco, CA Morgan Kaufmann Publishers 1991 4 Mitchell TM. Machine Learning.. New York: McGraw Hill; 1997 5 Ortiz J, Chefter CGM, Silva CES, Sabbating RME. One-year mortality prognosis in heart failure: a neural network approch basedonechocardiographicdata.. J Am coll Cardiol 1995; 26: 1586-93 6 Brigatti L, Hoffman D, Caprioli J. Neurals networks to identify glaucoma with structural and functional measurements.. Am J Ophthalmol 1996; 121: 511-21 7 Pesonen E, Eskelinen M, Juhola M. Comparison of different neural network algo. rithms in the diagnosis of acute appendicitis.. Int J of Biomed Comput 1996; 40: 227-33 8 Nussbaum MA, Chaffin DB, Martin BJ. A backpropagation neural network model of lumbar muscle recruitment during moderate static exertions.. J Biomech 1995; 28: 1015-24 9 Dietterich TG. Statistical tests for comparing supervised classification learning algorithms.. Submitted. Preprint available at http://www.CS.ORST.EDU/-tgd/cv/jr.html 10 Ambrosino R. The development and evaluation of a method for rule postprocessing.. Report SMI-95-02, Section of Medical Informatics, Department of Medicine, University of Pittsburgh 1995 11 Cooper GF, Aliferis CF, Ambrosino R, Aronis J, Buchanan BG, Caruana R, Fine MJ, Glymour C, Gordon G, Hanusa BH, Janosky JE, Meek C, Mitchell T, Richardson T, Spirtes P. An evaluation of machine learning methods for predicting pneumonia mortality.. Artif Intell Med 1997; 9: 107-38 12 Balas EA, Zong Rong LI, Spencer DC, Jaffrey F, Brent E, Mitchell JA. An expert system for performancebased direct deliv ery of published clinical evidence.. J Am Med Inform Assoc 1996; 3: 56-65 13 McDonald CJ, Hui SL, Smith DM. et al Reminders to physicians from an introspective computer medical record.. Ann Intern Med 1984; 100: 130-8 14 Wagner MM, Cooper GF. Evaluation of a belief-network -based reminder system that learns from utility feedback.. J Am Med Inform Assoc 1996; 3 (S) 666-72 15 Rennels G. A computational model of reasoning from the clinical literature.. New York: Springer-Verlag; 1987 16 Lehmann H. A Bayesian computerbased approach to the physicians' use of the clini cal research literature.. Stanford University: PhD dissertation; 1992 17 Post WM, Koster W, Sramek M, Schreiner G, Zocca V, de Vries B. Free Call, a system . for emergency-callhandling support.. Meth Inform Med 1996; 35: 242-55 18 Keith RDF, Beckley S, Garibaldi JM, Westgate JA, Ifeachor EC, Greene KR. A multicentre comparative study of 17 experts and an intelligent computer system for managing labour using the cardiotocogram.. Br J Obstet Gynaec 1995; 102: 688-700 19 Johansson M, Timpka T. Quality functions for requirements engineering in system development methods.. Med Inform 1996; 21: 133-45 20 Kahn MG, Bailey TC, Steib SA, Fraser VJ, Dunagan WC. Statistical process control methods for expert system performance monitoring.. J Am Med Inform Assoc 1996; 3: 258-69
