Abstract
In Webster’s International Dictionary “diagnosis” is defined as “the act or process of deciding the nature of a diseased condition by examination”. It can also denote “the decision or opinion resulting from such examination or investigation”.
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Achs, M. J., and Garfinkel, D., 1977, Computer simulation of energy metabolism and anoxic perfused rat heart,Am. J. Physiol., 232: R164.
Aikins, J. S., Kunz, J. C., Shortliffe, E. H., and Fallat, R. J., 1983, “PsUFF: An expert system for interpretation of pulmonary function data”,Comput. Biomed. Res., 16: 199.
Amarel, S., and Kulikowski, C. A., 1972, Medical decision making and computer modelling, in: “Proc. 5th Hawaii Int. Conf. on System Sciences”, Western Periodicals, North Hollywood, CA:170.
Amosov, N. M., and Palets, B. L., 1979, Heuristic simulation in physiology, in: “EURO IFIP 79”, P. A. Samet, ed., North-Holland, Amsterdam: 295.
Arturson, G., Groth, T., Hedlund, A., and Zaar, B., 1984, Potential use of computer simulation in treatment of burns, with special regard to oedema formation,Scand. J. Plastic and Reconstr. Surg., 18: 39.
Barnett, G. O., 1982, The computer and clinical judgment,N. Engl. J. Med., 307: 493.
Beautyman, W., 1982, Newman’s grammar of assent and the diagnostic process,Persp. Biol. Med., 25: 472.
Berzuini, C., and Stefanelli, M., 1982, KIRON: A computer system and a methodology applicable to the study of erythroid disorders, Comput. Biomed. Res., 15: 361.
Bleich, H. L., 1972, Computer-based consultation, electrolyte and acid-base disorders,Am. J. Med., 53: 285.
Blois, M. S., 1980, Clinical judgment and computers,N. Engl. J. Med., 303: 192.
Catanzarite, V. A., Greenburg, A. G., and Bremermann, H. J., 1981, Computer-aided diagnosis: Decision strategies and the clinical acceptability of consultation systems, in: “Proc. 14th Annual Hawaii Int. Conf. on System. Sciences”, Western Periodicals, North Hollywood, CA:588
Catanzarite, V. A., Greenburg, A. G., and Bremermann, H. J., 1982, Computer consultation in neurology: Subjective and objective evaluations of the “neurologist” system,Comput. Biol. Med., 12: 343.
Chokhani, S., 1981, Correspondences between biomathematical and causal models for clinical decision making,J. Med. Systems, 5: 249.
Couch, R. D., 1976, Computer diagnosis - review and comment,Path. Annu., 11: 141.
Duda, R. O., and Shortliffe, E. H., 1983, Expert systems research,Science, 220: 261.
Eddy, D. M., and Clanton, C. H., 1982, The art of diagnosis. Solving the clinico pathological exercise,N. Engl. J. Med., 306: 1263.
Elstein, A. S., Shulman, L. S., and Sprafka, S. A., 1978, “Medical Problem Solving. An Analysis of Clinical Reasoning”, Harvard University Press, Cambridge and London.
van Eyll, G., Pouleur, H., Col, J., Charlier, A. A., and Trémouroux, J., 1981, A model of the cardiovascular regulation as a diagnostic tool in acute myocardial infarction,Acta Cardiologica, suppl. XXVI: 69.
Feinberg, B. N., and Schoeffler, J. D., 1975, Computer optimization methods applied to medical diagnosis,Comput. Biol. Med., 5: 3.
First, M. B., Weimer, B. J., McLinden, S., and Miller, R. A., 1982, Computer-assisted localization of peripheral nervous system lesions,Comput. Biomed. Res., 15: 525.
Gordon, B., ed., 1971, “Current Medical Information and Terminology” 4th edition, Am. Medical Assoc., Chicago.
Gorry, G. A., Silverman, H., and Pauker, S. G., 1978, Capturing clinical expertise. A computer program that considers clinical responses to digitalis,Am. J. Med., 64: 452.
Groth, T., 1980, Pathophysiological models as information processing elements in clinical decision making, in: “MEDINFO 80”, D. A. B. Lindberg and S. Kaihara, eds., North-Holland, Amsterdam: 819.
Groth, T., 1982, Biodynamic models as they relate to test selection,Clin. Lab. Med., 2: 70.
Groth, T., 1984, The role of formal biodynamic models in laboratory medicine,Scand. J. Clin. Lab. Invest., 44 (Suppl. 169).
Groth, T., and de Verdier, C.-H., 1982, Biodynamic models as preprocessors of clinical laboratory data, in: “Advanced interpretation of clinical laboratory data”, C. Heusgham, A. Albert and E. S. Benson, eds., Marcel Dekker, New York: 151.
Guyton, A. C., Coleman, T. C., and Granger, H. J., 1972, Circulation overall regulation,Annu. Rev. Physiol., 34: 13.
Guyton, A. C., 1979, On the value of large models of biological systems: A critical commentary on Yates’s paper “Physical biology - a basis for modelling living systems”,J. Cybern. Inf. Sci., 2: 71.
Kastner, J. K., Weiss, S. M., and Kulikowski, C. A., 1983, An efficient scheme for time-dependent consultation systems,in: “MEDINFO 83”, J. H. van Bemmel, M. J. Ball and O. Wigertz, eds., North-Holland, Amsterdam:619.
Kulikowski, C. A., 1980, Artificial intelligence methods and systems for medical consultation,IEEE Trans. Pattern Anal. Machine Intell., PAMI-2: 464.
Kulikowski, C. A., and Ostroff, J., 1980, Constructing an expert knowledge base for thyroid,consultation using generalized Al techniques, in: “Proc. 4th Annual Symp. on Computer Applications in Medical Care”, IEEE, Washington, DC:175.
Ledley, R. S., 1980, Diagnosis by computer: Two decades of progress in: “Proc. 13th Annual Hawaii Int. Conf. on System Sciences, vol. 3, Western Periodicals, North Hollywood, CA:6.
Ledley, R. S., and Lusted, L. B., 1959, Reasoning foundations of medical diagnosis: probability and the value theory aid our understanding of how physicians reason, Science, 130: 9.
Levinson, D., 1983, Information, computers and clinical practice,JAMA, 249: 607.
Lezotte, D., and Scheinok, P. A., 1981, The role of modelling methods in medical diagnosis,J. Med. Systems, 5: 197.
Lincoln, T. L., 1983, Medical information science,JAMA, 249: 610.
Lindberg, D. A. B., Sharp, G. C., Kingsland III, L. C., Weiss, S. M., Hayes, S. P., Ueno, H., and Hazelwood, S. E., 1980, Computer based rheumatology consultant, in: “MEDINFO 80”, D. A. B. Lindberg and S. Kaihara, eds., North-Ho11and, Amsterdam:1311
Lively, W. M., Szygenda, S. A., and Mize, C. techniques for medical diagnosis. I. Heuristics and learning programs in selected neonatal hepatic disease, Comput. Biomed. Res., 6:393.
Miller, R. A., Pople, H. E., and Myers, J. D., 1982, INTERNIST-I, An experimental computer-based diagnostic consultant for general internal medicine,N. Engl. J. Med., 307: 468.
Miller, W. T., and Geselowitz, D. B., 1978a, Simulation studies of the electrocardiogram. I. The normal heart,Circ. Res., 43: 301.
Miller, W. T., and Geselowitz, D. B., 1978b, Simulation studies of the electrocardiogram. II. Ischemia and infarction,Circ. Res., 43: 315.
Mize, C. E., Lively, W. M., and Szygenda, S. A., 1976, Modelling techniques for medical diagnosis. II. Differential diagnosis of neonatal hepatitis and biliary atresia,Comput. Biomed. Res., 9: 239.
Okajima, M., Doniwa, K., Suzumura, N., Miyazak, Y., Iwata, A., and Kimura, T., 1982, Inverse problem for localizing small-sized infarct area by rotational placing of a set of limited numbered dipoles in the ventricular model, in: “Computers in Cardiology”, Washington, 1982, K. L. Ripley, ed., IEEE Computer Society, Silver Spring, MD:14.
Patil, R.S., Szolovits, P., and Schwartz, W. B., 1981, Causal understanding of patient illness in medical diagnosis,in:“Proc. 7th Int. Joint Conf. on Artificial Intelligence”, Vancouver, 2: 893.
Pauker, S. G., Gorry, G. A., Kassirer, J. D., and Schwartz, W. B., 1976, Towards the simulation of clinical cognition. Taking a present illness by computer,Am. J. Med,, 60: 981.
Pilkington, T., and Plonsey, R., eds., 1982, “Engineering Contributions to Biophysical Electrocardiography”, Wiley, New York.
Pople, H. E., 1982, Heuristic methods for imposing structure on ill-structured problems: The structuring of medical diagnostics, in: “Artificial Intelligence in Medicine”, P. Szolovits, ed., Westview Press, Boulder, CO:119.
Pouleur, H., van Eyll, C., Col, J., Covell, J. W., and Charlier, A. A., 1979, A model of circulatory regulation as a help system in therapy of acute myocardial infarction, in: “Computers in Cardiology”, Geneva, 1979, IEEE Computer Society, Silver Spring, MD:137.
Reggia, J. A., 1981, Computer-assisted medical decision making: a critical review,Ann. Biomed. Eng., 9: 605.
Rogers, W., Ryack, B., and Moeller, G., 1979, Computer-aided medical diagnosis: literature review,Int. J. Biomed. Comput., 10: 267.
Shortliffe, E. H., 1976, “Computer-based Medical Consultation: MYCIN”, Elsevier/North-Holland, Amsterdam.
Shortliffe, E. H., Buchanan, B. G., and Feigenbaum, E. H., 1979, Knowledge engineering for medical decision making: A review of computer-based clinical decision aids,Proc. IEEE, 67: 1207.
Sox, H. C., 1982, Clinical algorithms and patient care,in: “Clinical Decisions and Laborarory Use”, D. P. Connelly, E. S. Benson, M. D. Burke and D. Fenderson, eds., University of Minnesota Press, Minneapolis:225.
Stefanelli, M., Berzuini, C., and Quaglini, S., 1982, Ferrokinetics in man: Modelling and classification of erythroid disorders,in: “Advanced Interpretation of Clinical Laboratory Data”, C. Heusghem, A. Albert and E. S. Benson, eds., Marcel Dekker, New York:171.
de Swaan Arons, H., 1983, Expert systems in the simulation domain,Math. Comput. Simul., XXV: 10.
Szolovits, P., and Pauker, S. G., 1978, Categorical and probabilistic reasoning in medical diagnosis,Artif. Intell., 11: 115.
Szolovits, P., ed., 1982, “Artificial Intelligence in Medicine”,Westview Press, Boulder, CO.
Takasugi, S., Morton, P., Lindberg, D. A. B., and DeLand, E. C., 1980, Estimatability of blood chemistry variables based on a two-compartment thermodynamic model,Comput. Biomed. Res., 13: 317.
Teach, R. L., and Shortliffe, E.H., 1981, An analysis of physician attitudes regarding computer-based clinical consultation systems,Comput. Biomed. Res., 14: 542.
de Verdier, C.-H., and Groth, T., 1982, Prospects for the clinical use of biodynamic models, in: “Advanced Interpretation of Clinical Laboratory Data”, C. Heusghem, A. Albert and E. S. Benson, eds., Marcel Dekker, New York:259.
Wagner, G., Tautu, P., and Wolber, V., 1978, Problems of medical diagnosis - A bibliography,Meth. Inf. Med., 17: 55.
Wallis, J. W., and Shortliffe, E. H., 1982, Explanatory power for medical expert systems: Studies in the representation of causal relationships for clinical consultations,Meth. Inf. Med., 21: 127.
Wardle, A., and Wardle, L., 1978, Computer-aided diagnosis: A review of research,Meth. Inf. Med., 17: 15.
Warner, H. R., Toronto, A. F., Veasey, L. G., and Stephenson, R., 1961, A mathematical approach to medical diagnosis,JAMA, 177: 177.
Weiss, S., Kulikowski, C., and Safir, A., 1978, Glaucoma consultation by computer,Comput. Biol. Med., 3: 25.
Weiss, S. M., and Kulikowski, C. A., 1979, EXPERT: A system for developing consultation models, in: “Proc. 6th Int. Joint Conf. on Artificial Intelligence”, Tokyo:942.
Werner, J., 1981, Control aspects of human temperature regulation in man,Automatica, 17: 351.
Yates, F. E., 1979, Physical biology: A basis for modelling living systems,J. Cybern. Inf. Sci., 2: 57.
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Groth, T.L. (1985). The Role of Biodynamic Models in Computer-Aided Diagnosis. In: Carson, E.R., Cramp, D.G. (eds) Computers and Control in Clinical Medicine. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-2437-9_2
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