Abstract
A prototype program for computer assisted diagnosis in ophthalmology has been developed. The program uses Bayes' rule[1] to compute probabilities that a patient has a certain disease, given signs, symptoms and laboratory results. Probabilities used in making the diagnosis change with information from patients from whom a diagnosis has already been established. Therefore, as more information is accumulated about a particular disease, the computer becomes, on the average, a progressively better diagnostician.
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