A System of Computer Aided Diagnosis with Blood Serum Chemistry Tests and Bayesian Statistics.
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A set of twelve blood serum chemistry tests which can be evaluated on modern automated laboratory equipment were used as the symptoms in a Bayesian approach to computer aided differential diagnosis. A set of computer programs was developed to perform the necessary calculations at a local hospital so that it is easy for the local operator to handle and produce an output suitable for placing in a patients record. The results indicated that in over sixty percent of the cases studied, the correct diagnosis was in a diagnostic list of diseases, each having a probability of greater than five percent. The conclusions suggest that this analysis of blood chemistry results could best be used on routine admission screening of patients to provide the patients doctor with several diseases for his consideration. Modified author abstract