title: Representation requirements for supporting knowledge-based construction of decision models in medicine.
abstract: 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.
authors.affiliation: MIT Laboratory for Computer Science, Cambridge, MA 02139.
authors.forename: T Y
authors.initials: TY
authors.lastname: Leong
mesh_terms: 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