A design for decision making: construction and connection of knowledge bases for a diagnostic system in medicine.
We describe the process of organizing medical knowledge into knowledge bases and designing one architecture for a decision support system in clinical psychiatry. We define a set of knowledge bases that we regard as the necessary and sufficient structures to represent the medical knowledge to provide clinical consultations: disease profiles; frames with semantic relations to represent clinical findings; production rules with probabilities, to relate findings with diagnoses; a hierarchical classification tree, to represent disease categories; heuristic questions, to narrow the diagnostic hypotheses; and diagnostic criteria to conclude the clinical investigation. We propose one new architecture for a support system connecting these knowledge bases in a particular way to simulate medical clinical reasoning.
Biczyk do Amaral
M
M
Division of Medical Informatics, Chiba University Hospital, Japan.
Satomura
Y
Y
Honda
M
M
Sato
T
T
D001185:Artificial Intelligence; D001499:Bayes Theorem; D003663:Decision Trees; D003936:Diagnosis, Computer-Assisted; D017408:Guidelines as Topic; D006801:Humans; D008037:Linguistics; D008128:Logic; D001523:Mental Disorders / Q000145:classification / Q000175:diagnosis*; D016571:Neural Networks, Computer; D011336:Probability; D012659:Semantic Differential; D012985:Software Design; D009626:Terminology as Topic