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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 3 of 3 1 A French clinical corpus with comprehensive semantic annotations: development of the Medical Entity and Relation LIMSI annOtated Text corpus (MERLOT) Campillos, Leonardo; Deléger, Louise; Grouin, Cyril... In: ISSN: 1574-020X ; EISSN: 1574-0218 ; Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-01631743 ; Language Resources and Evaluation, Springer Verlag, 2017, 52 (2), pp.571-601. ⟨10.1007/s10579-017-9382-y⟩ (2017) BASE Show details 2 Automatic computation of CHA2DS2-VASc score: information extraction from clinical texts for thromboembolism risk assessment. Grouin, Cyril; Deléger, Louise; Rosier, Arnaud... In: AMIA . Annual Symposium proceedings [electronic resource] / AMIA Symposium. AMIA Symposium. ; https://hal.archives-ouvertes.fr/hal-00748588 ; AMIA . Annual Symposium proceedings [electronic resource] / AMIA Symposium. AMIA Symposium., 2011, 2011, pp.501-10 (2011) BASE Show details 3 Automatic computation of CHA2DS2-VASc score: Information extraction from clinical texts for thromboembolism risk assessment Grouin, Cyril; Deléger, Louise; Rosier, Arnaud; Temal, Lynda; Dameron, Olivier; Van Hille, Pascal; Burgun, Anita; Zweigenbaum, Pierre. - : American Medical Informatics Association, 2011 Abstract: The CHA2DS2-VASc score is a 10-point scale which allows cardiologists to easily identify potential stroke risk for patients with non-valvular fibrillation. In this article, we present a system based on natural language processing (lexicon and linguistic modules), including negation and speculation handling, which extracts medical concepts from French clinical records and uses them as criteria to compute the CHA2DS2-VASc score. We evaluate this system by comparing its computed criteria with those obtained by human reading of the same clinical texts, and by assessing the impact of the observed differences on the resulting CHA2DS2-VASc scores. Given 21 patient records, 168 instances of criteria were computed, with an accuracy of 97.6%, and the accuracy of the 21 CHA2DS2-VASc scores was 85.7%. All differences in scores trigger the same alert, which means that system performance on this test set yields similar results to human reading of the texts. Keyword: Articles URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3243195 http://www.ncbi.nlm.nih.gov/pubmed/22195104 BASE Hide details

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