Document Detail


A development environment for knowledge-based medical applications on the World-Wide Web.
MedLine Citation:
PMID:  9821518     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The World-Wide Web (WWW) is increasingly being used as a platform to develop distributed applications, particularly in contexts, such as medical ones, where high usability and availability are required. In this paper we propose a methodology for the development of knowledge-based medical applications on the web, based on the use of an explicit domain ontology to automatically generate parts of the system. We describe a development environment, centred on the LISPWEB Common Lisp HTTP server, that supports this methodology, and we show how it facilitates the creation of complex web-based applications, by overcoming the limitations that normally affect the adequacy of the web for this purpose. Finally, we present an outline of a system for the management of diabetic patients built using the LISPWEB environment.
Authors:
A Riva; R Bellazzi; G Lanzola; M Stefanelli
Related Documents :
15615288 - Application of fuzzy functions for visual presentation of medical data.
18185738 - Optoelectronic implementation of the triple correlation.
18487828 - Enhancing knowledge representations by ontological relations.
18484458 - Computer-based teaching is as good as face to face lecture-based teaching of evidence b...
15813758 - 'sorry, it's my first time!' will patients consent to medical students learning procedu...
14278018 - A research program in medical education in canada.
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Artificial intelligence in medicine     Volume:  14     ISSN:  0933-3657     ISO Abbreviation:  Artif Intell Med     Publication Date:  1998 Nov 
Date Detail:
Created Date:  1999-02-18     Completed Date:  1999-02-18     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  8915031     Medline TA:  Artif Intell Med     Country:  NETHERLANDS    
Other Details:
Languages:  eng     Pagination:  279-93     Citation Subset:  IM    
Affiliation:
Laboratorio di Informatica Medica, IRCCS Policlinico S. Matteo, Pavia, Italy.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Artificial Intelligence*
Diabetes Mellitus, Type 1
Humans
Internet*
Medical Informatics*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Modelling behavioral syndromes using Bayesian networks.
Next Document:  Web-based health care agents; the case of reminders and todos, too (R2Do2).