Memorias de investigación
Communications at congresses:
Identifying the Semantics of Eligibility Criteria of Clinical Trials based on relevant Medical Ontologies
Year:2012
Research Areas
  • Information technology and adata processing
Information
Abstract
An important objective of the INTEGRATE project1 is to build tools that support the efficient execution of post-genomic multi-centric clinical trials in breast cancer, which includes the automatic assessment of the eligibility of patients for available trials. The population suited to be enrolled in a trial is described by a set of free-text eligibility criteria that are both syntactically and semantically complex. At the same time, the assessment of the eligibility of a patient for a trial requires the (machineprocessable) understanding of the semantics of the eligibility criteria in order to further evaluate if the patient data available for example in the hospital EHR satisfies these criteria. This paper presents an analysis of the semantics of the clinical trial eligibility criteria based on relevant medical ontologies in the clinical research domain: SNOMED-CT, LOINC, MedDRA. We detect subsets of these widely-adopted ontologies that characterize the semantics of the eligibility criteria of trials in various clinical domains and compare these sets. Next, we evaluate the occurrence frequency of the concepts in the concrete case of breast cancer (which is our first application domain) in order to provide meaningful priorities for the task of binding/mapping these ontology concepts to the actual patient data. We further assess the effort required to extend our approach to new domains in terms of additional semantic mappings that need to be developed.
International
Si
Congress
IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE2012)
960
Place
Larnaca, Cyprus
Reviewers
Si
ISBN/ISSN
9781467343572
Start Date
11/11/2012
End Date
13/11/2012
From page
413
To page
421
Proceedings of a meeting held 11-13 November 2012
Participants
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Informática Biomédica (GIB)
  • Departamento: Inteligencia Artificial