title: Exploiting multi-modal reasoning for knowledge management and decision support: an evaluation study.
abstract: We present the first evaluation results of a knowledge management and decision support system for Type I diabetes patients' care. Such system, meant to help physicians in therapy revision, relies on the integration of Rule Based Reasoning and Case Based Reasoning, and exploits both explicit and implicit knowledge. Reliability was positively judged by a group of expert diabetologists; an increase in its performances is foreseen as new knowledge will be acquired, through the system usage in clinical practice.
authors.affiliation: Dipartimento di Informatica e Sistemistica, Università di Pavia.
authors.forename: S
authors.initials: S
authors.lastname: Montani
authors.forename: R
authors.initials: R
authors.lastname: Bellazzi
mesh_terms: D001185:Artificial Intelligence; D001499:Bayes Theorem; D020000:Decision Support Systems, Clinical; D003661:Decision Support Techniques; D003922:Diabetes Mellitus, Type 1 / Q000628:therapy*; D006801:Humans; D015203:Reproducibility of Results; D013813:Therapy, Computer-Assisted