title: A case-based assistant for clinical psychiatry expertise.
abstract: Case-based reasoning is an artificial intelligence methodology for the processing of empirical knowledge. Recent case-based reasoning systems also use theoretic knowledge about the domain to constrain the case-based reasoning. The organization of the memory is the key issue in case-based reasoning. The case-based assistant presented here has two structures in memory: cases and concepts. These memory structures permit it to be as skilled in problem-solving tasks, such as diagnosis and treatment planning, as in interpretive tasks, such as clinical research. A prototype applied to clinical work about eating disorders in psychiatry, reasoning from the alimentary questionnaires of these patients, is presented as an example of the system abilities.
authors.affiliation: Université René Descartes, UFR de mathématiques et informatique, LIAP-5, Paris, France.
authors.forename: I
authors.initials: I
authors.lastname: Bichindaritz
mesh_terms: D000855:Anorexia / Q000175:diagnosis / Q000628:therapy; D001185:Artificial Intelligence; D002032:Bulimia / Q000175:diagnosis / Q000628:therapy; D016022:Case-Control Studies; D015510:Clinical Medicine; D003199:Computer Systems; D003936:Diagnosis, Computer-Assisted; D006801:Humans; D011570:Psychiatry; D013813:Therapy, Computer-Assisted