Application of a new theorem of a posteriori probabilities of events to medical diagnosis

A posteriori probabilities of events where there are complex classes has recent ly been described by a new theorem [1,2]. The theorem is incorporated in the CONSULT-I language of artificial intelligence and statistical pattern recognition. This paper presents implementation of the CONSULT-I language applied to Thyroid Disorders. Performance is reported and compared to previous versions [3,4].