Document 0336
 DOCN  M9460336
 TI    AIDS2: a decision-support tool for decreasing physicians' uncertainty
       regarding patient eligibility for HIV treatment protocols.
 DT    9404
 AU    Ohno-Machado L; Parra E; Henry SB; Tu SW; Musen MA; Section on Medical
       Informatics, Stanford University School of; Medicine, CA.
 SO    Proc Annu Symp Comput Appl Med Care. 1993;:429-33. Unique Identifier :
       AIDSLINE MED/94176858
 AB    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.
 DE    Acquired Immunodeficiency Syndrome/*THERAPY  Artificial Intelligence
       Bayes Theorem  Clinical Protocols  Clinical Trials  *Decision Making,
       Computer-Assisted  *Decision Support Techniques  *Eligibility
       Determination  Human  Neural Networks (Computer)  Probability  Support,
       Non-U.S. Gov't  Support, U.S. Gov't, P.H.S.  JOURNAL ARTICLE

       SOURCE: National Library of Medicine.  NOTICE: This material may be
       protected by Copyright Law (Title 17, U.S.Code).