Annotation methods to develop and evaluate an expert system based on natural language processing in electronic medical records.
The objective of the SYNODOS collaborative project was to develop a generic IT solution, combining a medical terminology server, a semantic analyser and a knowledge base. The goal of the project was to generate meaningful epidemiological data for various medical domains from the textual content of French medical records. In the context of this project, we built a care pathway oriented conceptual model and corresponding annotation method to develop and evaluate an expert system's knowledge base. The annotation method is based on a semi-automatic process, using a software application (MedIndex). This application exchanges with a cross-lingual multi-termino-ontology portal. The annotator selects the most appropriate medical code proposed for the medical concept in question by the multi-termino-ontology portal and temporally labels the medical concept according to the course of the medical event. This choice of conceptual model and annotation method aims to create a generic database of facts for the secondary use of electronic health records data.
Université Lyon 1, UMR CNRS UCBL 5558, Lyon, France.
Quentin
Q
Gicquel
Université Lyon 1, UMR CNRS UCBL 5558, Lyon, France.
Nastassia
N
Tvardik
Université Lyon 1, UMR CNRS UCBL 5558, Lyon, France.
Côme
C
Bouvry
Department of Biomedical Informatics, Rouen University Hospital, TIBS, LITIS EA 4108 Rouen University, France.
Ivan
I
Kergourlay
Holmes Semantic Solutions, Grenoble, France.
André
A
Bittar
Viseo Technologies, Grenoble, France.
Frédérique
F
Segond
Department of Biomedical Informatics, Rouen University Hospital, TIBS, LITIS EA 4108 Rouen University, France.
Stefan
S
Darmoni
Université Lyon 1, UMR CNRS UCBL 5558, Lyon, France.
Marie-Hélène
MH
Metzger
D057225:Data Mining / Q000379:methods*; D057286:Electronic Health Records / Q000145:classification*; D005103:Expert Systems; D051188:Knowledge Bases; D000069550:Machine Learning; D009323:Natural Language Processing; D010363:Pattern Recognition, Automated / Q000379:methods; D009626:Terminology as Topic; D018875:Vocabulary, Controlled