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Biomedical subjects

M Cléret

Publications and source records attributed to M Cléret.

4 recordsLinked to original sources

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↗

Knowledge representation in orthopedics: from conceptual modeling to nomenclatures using 'Orthonav'.

Health budget cuts in developed countries have stressed the importance of the valued physician's activity's representation. Therefore, good codification standards have been necessary. Automated translation from information given directly by the physician is our chosen approach. Through conceptual modeling of nomenclatures used in the domain of Orthopedic Surgery in France, the authors show the feasibility, the advantages and the problems encountered using this kind of modeling with Orthonav, an original knowledge base built for codification of patients' records.

Expert Systems↗

A computer-assisted case report and diagnosis system: sharing the knowledge database ADM and using hypermedia techniques.

The practice of medicine is characterized by its great variability and by many rare diseases. When the medical students work in hospital units, they must learn the general medical practice in the care of the patient. The purpose of this work was to present a French multifunction decision aid system using artificial intelligence techniques and Hypercard tools for different modules. Through an ergonomic interface, the system assists the user in the construction of medical observations, suggests diagnostic hypothesis, provides documentation and helps the user perform retrieval tasks. The knowledge comes from senior experts and from the pre-existent and large knowledge database, ADM.

Computer Peripherals↗

A microcomputer teaching and decision-support system for emergency medicine: use of hypermedia and artificial intelligence in combination.

Hospital emergency units are submitted to a continuous intensive and polyvalent practice of medicine. In addition to the few experienced physicians, the medical staff is often made up of young and unskilled students and residents. The ability to reach at any time a wide and flexible knowledge is of the utmost importance to improve the quality of care given to patients and to perfect bedside teaching. The purpose of this work was to present a computerized system, a kind of shell, using, in combination, artificial intelligence and hypertext/hypermedia tools. A modular architecture is presented integrating two entities: an illustrated encyclopedic hypertext network and several expert modules based on production rules concerning well-limited fields of medicine (basic clinical problem-solving, metabolic and acid-base disorders). An interface using the World Wide Web (WWW) will soon be proposed.

Artificial Intelligence↗