A model for diagnosing and explaining multiple disorders.
The ability to diagnose multiple interacting disorders and explain them in a coherent causal framework has only partially been achieved in medical expert systems. This paper proposes a causal model for diagnosing and explaining multiple disorders whose key elements are: physician-directed hypotheses generation, object-oriented knowledge representation, and novel explanation heuristics. The heuristics modify and link the explanations to make the physician aware of diagnostic complexities. A computer program incorporating the model currently is in use for diagnosing peripheral nerve and muscle disorders. The program successfully diagnoses and explains interactions between diseases in terms of underlying pathophysiologic concepts. The model offers a new architecture for medical domains where reasoning from first principles is difficult but explanation of disease interactions is crucial for the system's operation.
Jamieson
P W
PW
Department of Neurology, University of Kansas Medical Center, Kansas City 66103.
D000137:Acid-Base Imbalance / Q000175:diagnosis; D000328:Adult; D001185:Artificial Intelligence; D003936:Diagnosis, Computer-Assisted; D006801:Humans; D008297:Male; D008954:Models, Biological; D012984:Software; D014883:Water-Electrolyte Imbalance / Q000175:diagnosis