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Biomedical subjects

F Le Duff

Publications and source records attributed to F Le Duff.

10 recordsLinked to original sources
PubMed2001

DIAMED: a probabilistic diagnostic aid system on the web.

DIAMED is a system to assist the physicians in the diagnostic process using probabilistic networks as knowledge representation. These networks make it possible to reason on medical data by applying Bayesian methods and to take into account uncertainties of the facts in the resolution of the clinical cases. The proposed model re-uses knowledge contained in an existing knowledge base (ADM). An interface of DIAMED developed on a Web server remotely assists the experts of each medical specialty in updating and validating the knowledge base. Most of the data processing is automated while being based on information preexistent in the ADM base : Constitution of lexicons starting from the existing dictionaries of the ADM system, are then used to work out the requests for selection and update of the knowledge base. One of its assets resides in its pseudo-segmented structure in several layers. The propagation of information is thus limited to only one part of the probabilistic network and calculations are therefore limited.

Artificial Intelligence↗
PubMed2001

A cognitive approach for designing a computer-based learning tool in dentistry: ODONTOS application.

This work emphasises a cognitive approach to build ODONTOS, a computer-based education system in dentistry. It aims at providing for both instructors and students without any particular knowledge in computer programming; a tool dedicated to dental disease learning. For instructors, it implements for knowledge construction e.g. creating and proposing clinical cases according to student learning style, using multimedia technology. For students it is a tool, which privileges their learning style in order to solve uniform and inflexible learning problem. World Wide Web (WWW) technology has allowed us to offer flexible learning program without any pressure of time and place to student. 13 instructors and 84 students tested the ODONTOS prototype via Internet and answered to the questions related to their habit regarding learning style for the students and knowledge construction for the instructors. Although video data have emerged as an important learning support for the students (82 out of 84), their use in knowledge construction still remains unusual comparative with the use of text and picture (10 out of 13 instructors). It appears that, the integration of video data should be more used by instructors (2 out of 13) while textual data are overwhelmingly used in knowledge construction (13 out of 13). We introduce ODONTOS, and discuss the concrete contributions of this work.

Cognition↗
PubMed2001

Design of a CSCL environment for clinical reasoning learning and problem-based learning in medicine.

The medical curriculum is changing, student-centered learning is currently used in medical schools. Problem-based Learning and Clinical Reasoning Learning develop the students' reasoning strategies. CSCW (Computer-Supported Cooperative Work) technology is used in Problem-Based Learning systems. We have designed a CSCL (Computer-Supported Collaborative Learning) environment for improving group coordination and communication in Clinical Reasoning Learning sessions. To support these new educative technologies, a prototype has been developed.

Clinical Medicine↗
PubMed2001

Sharing medical data for patient path analysis with data mining method.

The Agora Data project started in October 1997 in France. The objective was to share medical data between several medical institutions to analysis medical care pathways for patients that suffer from low back pain. The analysis of the medical records decomposed in three steps allowed us to produce knowledge on medical contacts of patients with the health care system. In order to study the relations between these contacts, we created medical path of patients within the framework of the possible contacts we had isolated. This work relates the implementation and the first results of the pilot study.

Confidentiality↗
PubMed2000

Knowledge acquisition to qualify Unified Medical Language System interconceptual relationships.

Adding automatically relations between concepts from a database to a knowledge base such as the Unified Medical Language System can be very useful to increase the consistency of the latter one. But the transfer of qualified relationships is more interesting. The most important interest of these new acquisitions is that the UMLS became more compliant and medically pertinent to be used in different medical applications. This paper describes the possibility to inherit automatically medical inter-conceptual relationships qualifiers from a disease description included into a database and to integrate them into the UMLS knowledge base. The paper focuses on the transmission of knowledge from a French medical database to an English one.

Artificial Intelligence↗
PubMed1999

Automatic enrichment of the unified medical language system starting from the ADM knowledge base.

The Unified Medical Language System (UMLS) project aims to provide a repository of terms, concepts and relationships from several medical classifications. This work describes the possibility to enrich automatically with meaningful links the UMLS database by using description of diseases from another knowledge base, in our case ADM (Aide au Diagnostic Medical). In spite of the constraints and the difficulties to qualify the interconcept links, the results show that it is possible to find and create new links from a french knowledge database to the UMLS one. One of the interests of this work is that the automated learning of the connections could be used with others knowledge databases like expert system databases.

Algorithms↗
PubMed1999

[Health status and its effects on the work of national education nurses].

This study presents a pedagogical work carried out with a group of 13 school nurses of the Academy of Rennes, as part of a course in survey methodology. A descriptive survey aiming to achieve a better understanding of experienced health status of nurses, and of its repercussions on the execution of their missions, was implemented during the course, as a result of the demand and the expertise of the participants. Overall, nurses report to be in good health. However, one can not underestimate the existence of a group at risk (5% of the sample) that often suffers somatic troubles accompanied by sleep disorders and anxiety, as these risks concern primarily permanent staff nurses working in boarding establishments, with half of them falling into this category. A demand for regular monitoring of their health was clearly expressed through the study. This may be the object of a subsequent study by an academic team.

Absenteeism↗
PubMedDate not supplied

[An experience in teaching pharmacology on the internet].

Internet and Intranet are omnipresent in the University world. We developed an easy-access website (www.med.univ-rennes1.fr/etud/pharmaco) devoted to teaching pharmacology and report here our experience after 4 years of use. Our objective was to determine the value of this new teaching tool in the medical coursus. The site is entirely free and presents approximately 50 topics and diaporamas discussing various themes: the cell, the receptor, general pharmacology, clinical research, population research, drug classes, etc. Harbored by the Medical Informatics Laboratory of the University of Rennes Medical School, this site serves as a reference for medical students and others. More than 100 visits are recorded daily, approximately half from visitors outside France. The advantages of this new teaching tool, which operates within the framework of a Virtual Medical University project, are evident for students and professors alike. Its impact on the quality of drug therapy by future doctors remains to be determined.

Curriculum↗
PubMedDate not supplied

[Drug distribution systems in hospitals].

Any drug generally made and marketed by drug companies must respect the quality standards conferred by New Drug Approval regarding both safety and efficacy. Once prescribed by a doctor, inside a hospital, the drug, or more precisely the decision of its prescription will follow a complex circuit, involving numerous intermediates (human and technical) leading to drug dispensation and follow-up. Regulatory guidelines and rules harmonise and standardise this drug pathway in hospitals. Any weakness in this distribution system will be the source of nosocomial drug iatrogeny. The present review aims at describing the different steps and stages from the prescription to an individual patient to drug administration and follow-up. The evaluation of this system will be mentioned in the perspective of optimisation. The computerised system is essential allowing tracking of a drug, and providing help for decision-making (by confrontation with data bases) and a research tool (i.e, pharmacoepidemiology). Different experiences of assessment of the performance of such a drug distribution system inside hospitals will be presented, trying to check the quality reference: the right drug, the right patient, the right moment, in good conditions. The challenge is to optimise and secure all steps of the process. This goal needs assessment and quality control of the different phases, opening the discussion between hospital policy and regulatory and technical considerations.

Device Approval↗