-
Chapter and Conference Paper
Flexible Classification, Question-Answering and Retrieval with Siamese Neural Networks for Biomedical Texts
Training transformers models on biomedical data has shown promising results. However, these language models require fine-tuning large models on very specific supervised data for each task. In this paper, we pr...
-
Chapter and Conference Paper
New Siamese Neural Networks for Text Classification and Ontologies Alignment
Integrating heterogeneous and complementary data in clinical decision support systems (e.g., electronic health records, drug databases, scientific articles, etc.) could improve the accuracy of these systems. B...
-
Chapter and Conference Paper
Ontological Representation of Causal Relations for a Deep Understanding of Associations Between Variables in Epidemiology
Understanding statistical results is crucial in order to spread right conclusions. In observational studies, statistical results are often reported as associations without going further. However, each associat...
-
Article
Open AccessLPbyCD: a new scalable and interpretable approach for Link Prediction via Community Detection in bipartite networks
Many aspects from real life with bi-relational structure can be modeled as bipartite networks. This modeling allows the use of some standard solutions for prediction and/or recommendation of new relations betw...
-
Chapter and Conference Paper
Possibilistic Information Retrieval Model Based on a Multi-terminology
We proposed in this paper a new approach for information retrieval intitled Conceptual Information Retrieval Model (CIRM). Our contribution is to exploit possibilistic networks (PN) and a multi-terminology in ...
-
Chapter and Conference Paper
Ontological Representation of Laboratory Test Observables: Challenges and Perspectives in the SNOMED CT Observable Entity Model Adoption
The emergence of electronic health records has highlighted the need for semantic standards for representation of observations in laboratory medicine. Two such standards are LOINC, with a focus on detailed enco...
-
Chapter and Conference Paper
Rewriting Natural Language Queries Using Patterns
In this paper, a method based on pre-defined patterns, which rewrites natural language queries into a multi-layer, flexible, scalable and object-oriented query language, is presented. The method has been conce...
-
Article
Open AccessEvaluating alignment quality between iconic language and reference terminologies using similarity metrics
Visualization of Concepts in Medicine (VCM) is a compositional iconic language that aims to ease information retrieval in Electronic Health Records (EHR), clinical guidelines or other medical documents. Using ...
-
Chapter and Conference Paper
Detecting Noun Phrases in Biomedical Terminologies: The First Step in Managing the Evolution of Knowledge
In order to identify variations between two or several versions of Clinical Practice Guidelines, we propose a method based on the detection of noun phrases. Currently, we are develo** a comparison approach t...
-
Article
Open AccessImproving information retrieval with multiple health terminologies in a quality-controlled gateway
The Catalog and Index of French-language Health Internet resources (CISMeF) is a quality-controlled health gateway, primarily for Web resources in French (n=89,751). Recently, we achieved a major improvement i...
-
Article
Open AccessMatching health information seekers' queries to medical terms
The Internet is a major source of health information but most seekers are not familiar with medical vocabularies. Hence, their searches fail due to bad query formulation. Several methods have been proposed to ...
-
Chapter
Correction orthographique de requêtes: L’apport des distances de Levenshtein et Stoilos
Background: Medical text repositories not only constitute a significant amount of data but also represent an interesting scientific test bed for those willing to apply natural language processing to informatio...
-
Chapter
Un modèle de données adapté à la recherche d’information dans le dossier patient informatisé: Étude, conception et évaluation
Background: Electronic Health Records (EHRs) have an important role in medical decision making and are considered as being a major part of medical support system. To ensure this role effectively, the informati...
-
Article
Open AccessTranslating the foundational model of anatomy into french using knowledge-based and lexical methods
The Foundational Model of Anatomy (FMA) is the reference ontology regarding human anatomy. FMA vocabulary was integrated into the Health Multi Terminological Portal (HMTP) developed by CISMeF based on the CISM...
-
Chapter and Conference Paper
Improving Information Retrieval by Meta-modelling Medical Terminologies
This work aims at improving information retrieval in a health gateway by meta-modelling multiple terminologies related to medicine. The meta-model is based on meta-terms that gather several terms semantically ...
-
Chapter and Conference Paper
Knowledge Acquisition from a Medical Corpus: Use and Return on Experiences
The present work aims at refining and expanding user’s queries thanks to association rules. We adapted the A-Close algorithm to a medical corpus indexed by MeSH descriptors. The originality of our approach lie...
-
Article
Open AccessA MEDLINE categorization algorithm
Categorization is designed to enhance resource description by organizing content description so as to enable the reader to grasp quickly and easily what are the main topics discussed in it. The objective of th...
-
Chapter and Conference Paper
Combining Knowledge-Based Methods to Refine and Expand Queries in Medicine
Information retrieval remains problematic in spite of the numerous existing search engines. It is the same problem for health information retrieval. We propose in this paper to combine three knowledge-based me...
