title: AIDS2: a decision-support tool for decreasing physicians' uncertainty regarding patient eligibility for HIV treatment protocols.
abstract: We have developed a decision-support tool, the AIDS Intervention Decision-Support System (AIDS2), to assist in the task of matching patients to therapy-related research protocols. The purposes of AIDS2 are to determine the initial eligibility status of HIV-infected patients for therapy-related research protocols, and to suggest additional data-gathering activities that will decrease uncertainty related to the eligibility status. AIDS2 operates in either a patient-driven or protocol-driven mode. We represent the system knowledge in three combined levels: a classification level, where deterministic knowledge is represented; a belief-network level, where probabilistic knowledge is represented; and a control level, where knowledge about the system's operation is stored. To determine whether the design specifications were met, we presented a series of 10 clinical cases based on actual patients to the system. AIDS2 provided meaningful advice in all cases.
authors.affiliation: Section on Medical Informatics, Stanford University School of Medicine, CA.
authors.forename: L
authors.initials: L
authors.lastname: Ohno-Machado
authors.forename: E
authors.initials: E
authors.lastname: Parra
authors.forename: S B
authors.initials: SB
authors.lastname: Henry
authors.forename: S W
authors.initials: SW
authors.lastname: Tu
authors.forename: M A
authors.initials: MA
authors.lastname: Musen
mesh_terms: D000163:Acquired Immunodeficiency Syndrome / Q000628:therapy*; D001185:Artificial Intelligence; D001499:Bayes Theorem; D002985:Clinical Protocols; D002986:Clinical Trials as Topic; D003658:Decision Making, Computer-Assisted; D003661:Decision Support Techniques; D004608:Eligibility Determination; D006801:Humans; D016571:Neural Networks, Computer; D011336:Probability