Representation requirements for supporting knowledge-based construction of decision models in medicine.
This paper analyzes the medical knowledge required for formulating decision models in the domain of pulmonary infectious diseases (PIDs) with acquired immunodeficiency syndrome (AIDS). Aiming to support dynamic decision-modeling, the knowledge characterization focuses on the ontology of the clinical decision problem. Relevant inference patterns and knowledge types are identified.
Leong
T Y
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MIT Laboratory for Computer Science, Cambridge, MA 02139.
D000163:Acquired Immunodeficiency Syndrome / Q000150:complications; D000328:Adult; D001185:Artificial Intelligence; D003658:Decision Making, Computer-Assisted; D003661:Decision Support Techniques; D006801:Humans; D008297:Male; D008962:Models, Theoretical; D009894:Opportunistic Infections / Q000150:complications / Q000175:diagnosis / Q000628:therapy; D011020:Pneumonia, Pneumocystis / Q000150:complications / Q000175:diagnosis / Q000628:therapy