FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2921844897> ?p ?o ?g. }

• W2921844897 abstract "Objective: Natural language processing can help minimize human intervention in identifying patients meeting eligibility criteria for clinical trials, but there is still a long way to go to obtain a general and systematic approach that is useful for researchers. We describe two methods taking a step in this direction and present their results obtained during the n2c2 challenge on cohort selection for clinical trials. Materials and Methods: The first method is a weakly supervised method using an unlabeled corpus (MIMIC) to build a silver standard, by producing semi-automatically a small and very precise set of rules to detect some samples of positive and negative patients. This silver standard is then used to train a traditional supervised model. The second method is a terminology-based approach where a medical expert selects the appropriate concepts, and a procedure is defined to search the terms and check the structural or temporal constraints. Results: On the n2c2 dataset containing annotated data about 13 selection criteria on 288 patients, we obtained an overall F1-measure of 0.8969, which is the third best result out of 45 participant teams, with no statistically significant difference with the best-ranked team. Discussion: Both approaches obtained very encouraging results and apply to different types of criteria. The weakly supervised method requires explicit descriptions of positive and negative examples in some reports. The terminology-based method is very efficient when medical concepts carry most of the relevant information. Conclusion: It is unlikely that much more annotated data will be soon available for the task of identifying a wide range of patient phenotypes. One must focus on weakly or non-supervised learning methods using both structured and unstructured data and relying on a comprehensive representation of the patients." @default.
• W2921844897 created "2019-03-22" @default.
• W2921844897 creator A5005710827 @default.
• W2921844897 creator A5028622531 @default.
• W2921844897 creator A5041159431 @default.
• W2921844897 creator A5041774091 @default.
• W2921844897 creator A5045484943 @default.
• W2921844897 creator A5045658797 @default.
• W2921844897 creator A5053042034 @default.
• W2921844897 creator A5056834851 @default.
• W2921844897 creator A5068448102 @default.
• W2921844897 creator A5069383408 @default.
• W2921844897 creator A5072431258 @default.
• W2921844897 creator A5081608027 @default.
• W2921844897 creator A5082866319 @default.
• W2921844897 date "2019-12-12" @default.
• W2921844897 modified "2023-10-14" @default.
• W2921844897 title "Hybrid Approaches for our Participation to the n2c2 Challenge on Cohort Selection for Clinical Trials" @default.
• W2921844897 cites W1541954861 @default.
• W2921844897 cites W1655376847 @default.
• W2921844897 cites W1759667598 @default.
• W2921844897 cites W1808652302 @default.
• W2921844897 cites W191029809 @default.
• W2921844897 cites W1969208427 @default.
• W2921844897 cites W1974660612 @default.
• W2921844897 cites W1995899261 @default.
• W2921844897 cites W2018316137 @default.
• W2921844897 cites W2027867013 @default.
• W2921844897 cites W2051743300 @default.
• W2921844897 cites W2058070641 @default.
• W2921844897 cites W2066578320 @default.
• W2921844897 cites W2070356350 @default.
• W2921844897 cites W2101086247 @default.
• W2921844897 cites W2101461562 @default.
• W2921844897 cites W2123442489 @default.
• W2921844897 cites W2123958887 @default.
• W2921844897 cites W2135781475 @default.
• W2921844897 cites W2146089916 @default.
• W2921844897 cites W2148402793 @default.
• W2921844897 cites W2149557440 @default.
• W2921844897 cites W2153579005 @default.
• W2921844897 cites W2154048976 @default.
• W2921844897 cites W2156446720 @default.
• W2921844897 cites W2159583324 @default.
• W2921844897 cites W2260776682 @default.
• W2921844897 cites W2317648909 @default.
• W2921844897 cites W2356882517 @default.
• W2921844897 cites W2396881363 @default.
• W2921844897 cites W2399256094 @default.
• W2921844897 cites W2404901863 @default.
• W2921844897 cites W2465510207 @default.
• W2921844897 cites W2517814789 @default.
• W2921844897 cites W2532781556 @default.
• W2921844897 cites W2592366151 @default.
• W2921844897 cites W2740401597 @default.
• W2921844897 cites W2950562763 @default.
• W2921844897 cites W2963626623 @default.
• W2921844897 cites W45588658 @default.
• W2921844897 hasPublicationYear "2019" @default.
• W2921844897 type Work @default.
• W2921844897 sameAs 2921844897 @default.
• W2921844897 citedByCount "0" @default.
• W2921844897 crossrefType "posted-content" @default.
• W2921844897 hasAuthorship W2921844897A5005710827 @default.
• W2921844897 hasAuthorship W2921844897A5028622531 @default.
• W2921844897 hasAuthorship W2921844897A5041159431 @default.
• W2921844897 hasAuthorship W2921844897A5041774091 @default.
• W2921844897 hasAuthorship W2921844897A5045484943 @default.
• W2921844897 hasAuthorship W2921844897A5045658797 @default.
• W2921844897 hasAuthorship W2921844897A5053042034 @default.
• W2921844897 hasAuthorship W2921844897A5056834851 @default.
• W2921844897 hasAuthorship W2921844897A5068448102 @default.
• W2921844897 hasAuthorship W2921844897A5069383408 @default.
• W2921844897 hasAuthorship W2921844897A5072431258 @default.
• W2921844897 hasAuthorship W2921844897A5081608027 @default.
• W2921844897 hasAuthorship W2921844897A5082866319 @default.
• W2921844897 hasBestOaLocation W29218448972 @default.
• W2921844897 hasConcept C126322002 @default.
• W2921844897 hasConcept C154945302 @default.
• W2921844897 hasConcept C41008148 @default.
• W2921844897 hasConcept C535046627 @default.
• W2921844897 hasConcept C71924100 @default.
• W2921844897 hasConcept C72563966 @default.
• W2921844897 hasConcept C81917197 @default.
• W2921844897 hasConceptScore W2921844897C126322002 @default.
• W2921844897 hasConceptScore W2921844897C154945302 @default.
• W2921844897 hasConceptScore W2921844897C41008148 @default.
• W2921844897 hasConceptScore W2921844897C535046627 @default.
• W2921844897 hasConceptScore W2921844897C71924100 @default.
• W2921844897 hasConceptScore W2921844897C72563966 @default.
• W2921844897 hasConceptScore W2921844897C81917197 @default.
• W2921844897 hasLocation W29218448971 @default.
• W2921844897 hasLocation W29218448972 @default.
• W2921844897 hasOpenAccess W2921844897 @default.
• W2921844897 hasPrimaryLocation W29218448971 @default.
• W2921844897 hasRelatedWork W1506200166 @default.
• W2921844897 hasRelatedWork W1995515455 @default.
• W2921844897 hasRelatedWork W2048182022 @default.
• W2921844897 hasRelatedWork W2080531066 @default.
• W2921844897 hasRelatedWork W2604872355 @default.

• next