Abstract
There is currently a dearth of numerical data on symptom occurrence for medical diseases. These data would be useful in many computer applications to medicine, particularly for computer-assisted diagnosis, computer-based clinical simulations, and computer-assisted instructions. These data might be obtained from (1) published review articles, (2) combined data bases already developed for previous automated diagnosis programs, (3) retrospective chart reviews, (4) computerized medical information systems, or (5) data supplied by expert committees. Each of these techniques has drawbacks, especially in providing data for multiple time cuts throughout the disease course, and in accounting for prior therapies, the interactions of symptoms, or the locality, sex, race, or environment of the patient. However, even a preliminary effort documenting the judgment of expert committee members would be a substantial contribution and would facilitate further progress in important areas of medical computing.
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References
Engle, R.L., Jr., and Flehinger, B.J., Computer-aided differential diagnosis of hematologic diseases: A Bayesian probability model.Modern Concepts in Hematology (G. Izak, and S.M. Lewis, eds.), Academic Press, New York and London, 1972, pp. 265–271.
Gorry, G.A., and Barnett, G.O., Sequential diagnosis by computer.J.A.M.A. 205:849–854, 1968.
Gustafson, D.H., Kestly, J.J., Greist, J.H., and Jensen, N.M., Initial evaluation of a subjective Bayesian diagnostic system.Health Services Research 6:204–213, 1971.
Ledley, R.S., and Lusted, L.B., Reasoning foundations of medical diagnosis. Symbolic logic, probability, and value theory aid our understanding of how physicians reason.Science 130:9–21, 1959.
Nugent, C.A., Warner, H.R., Dunn, J.T., and Tyler, F.H., Probability theory in diagnosis of Cushing's syndrome.J. Clin. Endocrinol. Metab. 24:621–627, 1964.
Rinaldo, J.A., Scheinok, P., and Rupe, C.E., Symptom diagnosis. A mathematical analysis of epigastric pain.Ann. Int. Med. 59:145–154, 1963.
Toronto, A.F., Veasey, L.G., and Warner, H.R., Evaluation of a computer program for diagnosis of congenital health disease.Progr. Cardiov. Dis. 5:362, 1963.
Warner, H.R., Toronto, A.F., Veasey, G., and Stephenson, R., A mathematical approach to medical diagnosis. Application to congenital heart disease.J.A.M.A. 177:177–183, 1961.
Warner, H.R., Toronto, A.F., and Veasey, L.G., Experience with Bayes' theorem for computer diagnosis of congenital heart disease.Ann. N.Y. Acad. Sci. 115:558–567, 1964.
Winkler, C., Reichertz, P., and Kloss, G., Computer diagnosis of thyroid diseases.Am. J. Med. Sci. 253:27–33, 1967.
Harless, W.D., Drennon, G.G., Marxer, J.J., Rott, J.A., and Miller, G.E., CASE: A computer-aided simulation of the clinical encounter.J. Med. Educ. 46:443–448, 1971.
Dombal, F.T. et al., A computer assisted system for learning clinical diagnosis.Lancet 1:145–148, 1969.
Dombal F.T. et al., Production of artificial “case histories” by using a small computer.Brit. Med. J. 2:578–581, 1971.
Dombal, F.T., et al., Simulation of clinical diagnosis: A comparative study.Brit. Med. J. 2:575–577, 1971.
Barnett, G.O., Strategies, potentials and problems of computerized assisted instruction.Physiologist 16(4):621–625, 1973.
Friedman, R.B., A computer program for simulating the patient-physician encounter.J. Med. Educ. 48:92–97, 1973.
Hoffer, E.P., and Barnett, G.O., Computer simulation model for teaching cardiopulmonary resuscitation.J. Med. Educ. 47:373–378, 1972.
Hart, F. Dudley (ed.),French's Index of Differential Diagnosis (10th ed.), Wright, Bristol, 1973.
Gordon, B.L. (ed.),Current Medical Terminology American Medical Association, Chicago, 1963–66.
MacBryde, C.M. (ed.),Signs and Symptoms: Applied Pathologic Physiology and Clinical Interpretation (4th ed.) J.B. Lippincott, Philadelphia, 1964.
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Friedman, R.B. Gathering diagnostic statistics. J Med Syst 2, 25–30 (1978). https://doi.org/10.1007/BF02225580
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DOI: https://doi.org/10.1007/BF02225580