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D Fieschi

Publications and source records attributed to D Fieschi.

25 records · Page 2Linked to original sources
PubMed1994

[Evaluation of computer-assisted instruction methods. Apropos of 26 comparative studies published between 1989 and 1992].

Information and knowledge processing technologies have contributed to the development of Computer assisted instruction (CAI) applications. Multimedia technologies will increase the possibilities of these programmes in the future. However the evaluation of the software as well as the other technologies is necessary. The authors have tried to quantify the contributions of CAI analysing the literature referenced in MEDLINE from 1989 to 1992. On the 470 papers indexed with the key-word "Computer Assisted Instruction", 56 studies take evaluation into account. Only 26, that is 5.5%, presented a clear and explicit methodology of evaluation. On the 26 studies, 16 were considered with positive result and among these, 6 presented a statistical significance. The conditions and the criteria of the evaluation studies do not permit a meta analysis. Is is necessary to develop standardized evaluation criteria to estimate the quantitative and qualitative impact of the CAI technics on the educational process and their own pedagogical contribution.

Computer-Assisted Instruction↗
PubMed1985

[Presentation of a system for computer-aided decision in diabetes therapeutics].

This paper presents Sphinx, an expert system for computer-aided diagnosis in diabetes therapeutic. This interactive program makes logic deductions, comprehensible for users and it is not necessary for them to know artificial intelligence methodology. An improvement of the first results is possible and necessary, but the reliability of the advice already expressed by the system makes it useful as a future physician's implement.

Computers↗
PubMedDate not supplied

UMLS-based conceptual queries to biomedical information databases: an overview of the project ARIANE. Unified Medical Language System.

OBJECTIVE: The aim of the project ARIANE is to model and implement seamless, natural, and easy-to-use interfaces with various kinds of heterogeneous biomedical information databases. DESIGN: A conceptual model of some of the Unified Medical Language System (UMLS) knowledge sources has been developed to help end users to query information databases. A query is represented by a conceptual graph that translates the deep structure of an end-user's interest in a topic. A computational model exploits this conceptual model to build a query interactively represented as query graph. A query graph is then matched to the data graph built with data issued from each record of a database by means of a pattern-matching (projection) rule that applies to conceptual graphs. RESULTS: Prototypes have been implemented to test the feasibility of the model with different kinds of information databases. Three cases are studied: 1) information in records is structured according to the UMLS knowledge sources; 2) information is able to be structured without error in the frame of the UMLS knowledge; 3) information cannot be structured. In each case the pattern-matching is processed by the projection rule according to the structure of information that has been implemented in the databases. CONCLUSION: The conceptual graphs theory provides with a homogeneous and powerful formalism able to represent both concepts, instances of concepts in medical contexts, and associations by means of relationships, and to represent data at different levels of details. The conceptual-graphs formalism allows powerful capabilities to operate a semantic integration of information databases using the UMLS knowledge sources.

Databases as Topic↗