Accuracy of using natural language processing methods for identifying healthcare-associated infections

International audienceThere is a growing interest in using natural language processing (NLP) for healthcare-associated infections (HAIs) monitoring. A French project consortium, SYNODOS, developed a NLP solution for detecting medical events in electronic medical records for epidemiological purposes. The objective of this study was to evaluate the performance of the SYNODOS data processing chain for detecting HAIs in clinical documents

Accuracy of using natural language processing methods for identifying healthcare-associated infections

International audienceThere is a growing interest in using natural language processing (NLP) for healthcare-associated infections (HAIs) monitoring. A French project consortium, SYNODOS, developed a NLP solution for detecting medical events in electronic medical records for epidemiological purposes. The objective of this study was to evaluate the performance of the SYNODOS data processing chain for detecting HAIs in clinical documents

Accuracy of using natural language processing methods for identifying healthcare-associated infections

International audienceThere is a growing interest in using natural language processing (NLP) for healthcare-associated infections (HAIs) monitoring. A French project consortium, SYNODOS, developed a NLP solution for detecting medical events in electronic medical records for epidemiological purposes. The objective of this study was to evaluate the performance of the SYNODOS data processing chain for detecting HAIs in clinical documents

Recherche d'information multi-terminologique : application à un portail d'information sur le médicament en Europe

National audienc

A Drug Information Portal in Europe

Poster in AMIA Sym

Information retrieval in context using various health terminologies

International audienc

Terminology Coverage from Semantic Annotated Health Documents.

International audienceUnstructured health documents (e.g. discharge summaries) represent an important and unavoidable source of information

Automatic indexing in a drug information portal

International audienc

Multi-lingual Search Engine to Access PubMed Monolingual Subsets: A Feasibility Study.

International audiencePubMed contains many articles in languages other than English but it is difficult to find them using the English version of the Medical Subject Headings (MeSH) Thesaurus. The aim of this work is to propose a tool allowing access to a PubMed subset in one language, and to evaluate its performance. Translations of MeSH were enriched and gathered in the information system. PubMed subsets in main European languages were also added in our database, using a dedicated parser. The CISMeF generic semantic search engine was evaluated on the response time for simple queries. MeSH descriptors are currently available in 11 languages in the information system. All the 654,000 PubMed citations in French were integrated into CISMeF database. None of the response times exceed the threshold defined for usability (2 seconds). It is now possible to freely access biomedical literature in French using a tool in French; health professionals and lay people with a low English language may find it useful. It will be expended to several European languages: German, Spanish, Norwegian and Portuguese

Abstract multi-terminology indexing for the assignment of MeSH descriptors

International audienc