Hybrid Reasoning-Based Medical Platform to Assist Clinicians in their Clinical Reasoning Process
| Affiliation auteurs | !!!! Error affiliation !!!! |
| Titre | Hybrid Reasoning-Based Medical Platform to Assist Clinicians in their Clinical Reasoning Process |
| Type de publication | Conference Paper |
| Year of Publication | 2015 |
| Auteurs | Benmimoune L, Hajjam A, Ghodous P, Andres E, Talha S, Hajjam M |
| Conference Name | 2015 6TH INTERNATIONAL CONFERENCE ON INFORMATION, INTELLIGENCE, SYSTEMS AND APPLICATIONS (IISA) |
| Publisher | Inst Elect & Elect Engineers; Biol & Artificial Intelligence Fdn; Univ Piraeus; Ionian Univ |
| Conference Location | 345 E 47TH ST, NEW YORK, NY 10017 USA |
| Mots-clés | Case-Based Reasoning, Clinical Decision Support System, Clinical guidelines, Clinical Reasoning, Information Gathering System, ontology, Rule-Based Reasoning |
| Résumé | Clinical decision support systems (CDSSs) have been hailed for their potential to reduce medical errors and improve the quality and safety of health care. CDSSs aim to assist clinicians in their decision making and take over some routines including diagnostic support. This paper presents a design of a generic medical platform to assist clinicians in their clinical reasoning process. Our platform aims to guide clinicians in the process of gathering relevant information and to help them in their decision making. It exploits two sources of knowledge namely: theoretical knowledge (clinical rules) and practical knowledge (clinical experiences) by relying on Rule-Based Reasoning and Case-Based Reasoning, respectively. moreover, we utilize the semantic web and ontologies for knowledge modeling in order to reuse and to share knowledge. |