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Fuzzy Medical Expert Systems for Clinical Medicine Learning Through the Fuzzy Neural Network

Computer programs are playing key role in Medicine not only in Medical Information Systems but also in Medical Diagnosis and Surgery. Artificial Intelligence in Medicine particularly Expert Systems are used for diagnosis and robotics are used in surgery. The Robotics will assist the surgeon in Surgery. The Medical Expert Systems will assist the physician in Diagnosis. The information available to the medical diagnosis is incomplete. The medical diagnosis needs commonsense. The fuzzy logic deals incomplete information with commonsense rather than likelihood (probability). In this paper, fuzzy conditional inference is discussed for incomplete information. The neural networks are used to learn the fuzzy rules of Medical care. Some methods of fuzzy conditional inferences are studied. The fuzzy neural networks are used to learn fuzzy rules of medical diagnosis for incomplete information. The fuzzy medical expert system is discussed for medical diagnosis. The Generalized fuzzy certainty factor is discussed for medical diagnosis. The EMYCIN medical expert system shell is discussed for Eye diseases asan example.