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Biomedical subjects

Pierre Le Beux

Publications and source records attributed to Pierre Le Beux.

22 records · Page 2Linked to original sources

Integration of electronic resources and communication technologies during Clinical Reasoning Learning sessions.

In the last few years, Clinical Reasoning Learning has been used during clinical training courses in many universities. The goal of this educational activity is to develop problem solving and diagnosis skills in medicine, using previously acquired medical knowledge. We propose the integration of educational resources and computer systems to help students during the reasoning process, and in order to prepare students to look for medical information. We also describe a Computer-Supported Collaborative Learning Environment that integrates Information and Communication Technologies in order to improve the Clinical Reasoning Learning Sessions.

Clinical Competence↗

Combining voice recognition and automatic indexing of medical reports.

Medical records have been evolving from the traditional paper-based records to digital ones, from the method of dictating reports and transcription to voice recognition systems. The transition to digital operations will not be complete until we have the ability to combine voice recognition with automated indexing of texts. This paper introduces the methods we used to evaluate existing voice recognition software programs and presents NOMINDEX, a system that turns a medical text into MeSH codes, using the French ADM lexical database. Those systems were applied to 28 patient discharge summaries in French, produced after a coronarography, and extracted from the MENELAS corpus of texts. Using the best configuration for voice recognition, the rate of accurate recognition exceeds 98 percent. Among the indexing concepts assigned by NOMINDEX, 25 percent were not pertinent and 12 percent of the relevant concepts were missing. Most errors were related to confusion between common language and medical language, and to the coverage of the ADM lexical database. Best results would be expected with a more comprehensive lexical resource In addition, only 3 percent of the errors generated by inadequate voice recognition that remained in the configuration that performed better, impacted on automatic indexing by NOMINDEX.

Abstracting and Indexing↗

Automatic conceptual indexing of French pharmaceutical theses.

French pharmaceutical theses are rarely quoted. If the main obstacles originate from language or access barriers, proper indexation could also be blamed. Manually extracted key-words don't necessary come from a structured thesaurus. In the following work, this manual indexing method is compared to an automated one, "Nomindex", based on UMLS. The automated method is improved by the addition of a relevance scoring system. The first indexing step consists of downloading, adapting and indexing theses in electronic format. Results will then be analyzed and sorted by relevance, through the comparison of classic statistical indices (noise, silence and relevance). It was assumed that the manually obtained key-words were always relevant. The silence of manual indexing is nevertheless high: seven new key-words are proposed by Nomindex, which results are mixed (10% of silence, but 50% of noise). These results are promising on the first experiment on pharmaceutical document without lexicon improvement. The indexing, if it is currently insufficient for a real life use, could easily be improved by specific updates of the lexicon.

Abstracting and Indexing↗

Design considerations for an ontology in the domain of organ failure and transplantation.

The Etablissement français des Greffes (EfG) is a national agency dealing with Public Health issues related to organ, tissue and cell transplantation in France. The evaluation of organ retrieval and transplantation activities, one of its missions, is supported by a national information system (IS). In order to facilitate data recording, to improve the quality of information and to prepare semantic interoperability with other information systems, the existing thesaurus of the EfG was audited, leading to the design a new terminological module devoted to the support of the domain ontology.

France↗