Abstract
One thousand and forty-six patients, referred for barium meal examination, were interviewed and subsequently examined by one radiologist. Attempts were made to correlate the data obtained from the patient with radiologic diagnosis, using discriminant function analysis and Bayesian conditional probability calculations. Each patient was classified into one of eight diagnostic categories on the basis of these calculations. The accuracy of this method was compared with that of the clinical diagnoses made by the radiologist before examination. Other studies evaluating statistical methods of medical diagnoses have been confined to situations in which clinical diagnostic accuracy is high. As in these, the present study, which is directed to patients who challenge the acumen of the practising physician, yields a diagnostic accuracy similar to that achieved by the clinician.
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Ross P: Computers in medical diagnosis. Crit Rev in Radiol Sci. To be published
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Ross, P., Dutton, A.M. Computer analysis of symptom complexes in patients having upper gastrointestinal examinations. Digest Dis Sci 17, 248–254 (1972). https://doi.org/10.1007/BF02232297
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DOI: https://doi.org/10.1007/BF02232297