Franck Le Duff

Learn More
  • Chaitrali S. Dangare, S. Apte, +14 authors Philippe Mabob
  • 2012
The Healthcare industry is generally "information rich", but unfortunately not all the data are mined which is required for discovering hidden patterns & effective decision making. Advanced data mining techniques are used to discover knowledge in database and for medical research, particularly in Heart disease prediction. This paper has analysed(More)
The objective of this paper is to describe our experience in developing a tool based on web technologies, for storing, managing and providing medical courses written by professors in the medical university of Rennes. The increasing number of documents sent by professors leaded us to build a specific resource management system. We created a relational(More)
Lexical resources for medical language, such as lists of words with inflectional and derivational information, are publicly available for the English lantuate with the UMLS Specialist Lexicon. The goal of the UMLF project is to pool and unify existing resources and to add extensively to them by exploiting medical terminologies and corpora, resulting in a(More)
PURPOSE The objective of this work was to assess problem-based learning (PBL) as a method for teaching information and communication technology in medical informatics (MI) courses. A study was conducted in the Schools of Medicine of Rennes and Rouen (France) with third-year medical students. METHODS The "PBL-in-MI" sessions included a first tutorial group(More)
BACKGROUND AND AIM In an animal model VLDL-triglyceride secretion is highly dependent on stearoyl-coA desaturase (SCD) activity and could explain abdominal fattening. The aim was to assess the relationship of plasma palmitoleic acid content, a product of SCD activity, with triglyceridemia and abdominal adiposity in humans. METHODS We evaluated 134 healthy(More)
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(More)
Medical Informatics has a constant need for basic Medical Language Processing tasks, e.g., for coding into controlled vocabularies, free text indexing and information retrieval. Most of these tasks involve term matching and rely on lexical resources: lists of words with attached information, including inflected forms and derived words, etc. Such resources(More)
Semantic interoperability between knowledge bases in medicine, and knowledge base in genomics and molecular biology will lead to advances in fundamental research as well as to improved patient care. DNA chips strategy is used for transcriptome analysis in order to identify deregulated genes in physio-pathological conditions. The objective of the BioMedical(More)
PURPOSE To examine the way in which specific drug treatments for Alzheimer's disease are used and whether their use complies with clinical practice guidelines issued by the French National Authority for Health in patients with Alzheimer's disease. METHODS We analysed a cross-section of the French National Alzheimer's databank (BNA). Participants were(More)
OBJECTIVE Representing roles, i.e. functions of proteins, sequences and structures, is the cornerstone of knowledge representation in functional genomics. The objective of this study is to investigate representation of roles as functional categories or associative relations. We focus on GeneOntology (GO) and the UMLS and take examples from iron metabolism.(More)