FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4297777502> ?p ?o ?g. }

• W4297777502 abstract "<sec> <title>BACKGROUND</title> Reliable and interpretable automatic extraction of clinical phenotypes from large electronic medical records databases remains a challenge, especially in a language other than English. </sec> <sec> <title>OBJECTIVE</title> We aimed to provide an automated end-to-end extraction of cohorts of similar patients from electronic health records for systemic diseases. </sec> <sec> <title>METHODS</title> Our multistep algorithm includes a named-entity recognition step, a multilabel classification using Medical Subject Headings ontology and the computation of patient similarity. A selection of cohorts of similar patients on a priori annotated phenotypes was performed. Six phenotypes were selected for their clinical significance: P1-osteoporosis, P2-nephritis in systemic erythematosus lupus, P3-interstitial lung disease in systemic sclerosis, P4-lung infection, P5-obstetric antiphospholipid syndrome, and P6-Takayasu stroke. We used a training set of 151 clinical notes and an independent validation set of 256 clinical notes, with annotated phenotypes, both extracted from the Assistance Publique-Hôpitaux de Paris data warehouse. We evaluated the precision of the 3 patients closest to the index patient for each phenotype with the precision-at-3, and the recall and average precision. </sec> <sec> <title>RESULTS</title> For P1-P4, the precision-at-3 ranged from 0.85 [0.75, 0.95] to 0.99 [0.98, 1], the recall ranged from 0.53[0.50, 0.55] to 0.83[0.81, 0.84], and the average precision ranged from 0.58 [0.54, 0.62] to 0.88 [0.85, 0.90], respectively. P5-P6 phenotypes could not be analysed due to a limited number of phenotypes. </sec> <sec> <title>CONCLUSIONS</title> Using a method close to clinical reasoning, we built a scalable and interpretable end-to-end algorithm to extract cohorts of similar patients. </sec>" @default.
• W4297777502 created "2022-10-01" @default.
• W4297777502 creator A5051913367 @default.
• W4297777502 creator A5056834851 @default.
• W4297777502 creator A5060316613 @default.
• W4297777502 creator A5082959305 @default.
• W4297777502 creator A5087386909 @default.
• W4297777502 date "2022-09-01" @default.
• W4297777502 modified "2023-09-29" @default.
• W4297777502 title "Construction of cohorts of similar patients from automatic extraction of medical concepts (Preprint)" @default.
• W4297777502 cites W2040472404 @default.
• W4297777502 cites W2067235700 @default.
• W4297777502 cites W2096772505 @default.
• W4297777502 cites W2146255968 @default.
• W4297777502 cites W2250539671 @default.
• W4297777502 cites W2493916176 @default.
• W4297777502 cites W2738548294 @default.
• W4297777502 cites W2792007075 @default.
• W4297777502 cites W2805211535 @default.
• W4297777502 cites W2807640626 @default.
• W4297777502 cites W2924560236 @default.
• W4297777502 cites W2967056613 @default.
• W4297777502 cites W2986154550 @default.
• W4297777502 cites W2998530579 @default.
• W4297777502 cites W3008003211 @default.
• W4297777502 cites W3119077489 @default.
• W4297777502 cites W3135467054 @default.
• W4297777502 cites W3136253378 @default.
• W4297777502 cites W3171112158 @default.
• W4297777502 cites W3196995059 @default.
• W4297777502 cites W4224616393 @default.
• W4297777502 cites W4298198383 @default.
• W4297777502 doi "https://doi.org/10.2196/preprints.42379" @default.
• W4297777502 hasPublicationYear "2022" @default.
• W4297777502 type Work @default.
• W4297777502 citedByCount "0" @default.
• W4297777502 crossrefType "posted-content" @default.
• W4297777502 hasAuthorship W4297777502A5051913367 @default.
• W4297777502 hasAuthorship W4297777502A5056834851 @default.
• W4297777502 hasAuthorship W4297777502A5060316613 @default.
• W4297777502 hasAuthorship W4297777502A5082959305 @default.
• W4297777502 hasAuthorship W4297777502A5087386909 @default.
• W4297777502 hasConcept C104317684 @default.
• W4297777502 hasConcept C126322002 @default.
• W4297777502 hasConcept C127716648 @default.
• W4297777502 hasConcept C154945302 @default.
• W4297777502 hasConcept C160735492 @default.
• W4297777502 hasConcept C162324750 @default.
• W4297777502 hasConcept C185592680 @default.
• W4297777502 hasConcept C195910791 @default.
• W4297777502 hasConcept C204321447 @default.
• W4297777502 hasConcept C23123220 @default.
• W4297777502 hasConcept C3020144179 @default.
• W4297777502 hasConcept C3020646490 @default.
• W4297777502 hasConcept C41008148 @default.
• W4297777502 hasConcept C50522688 @default.
• W4297777502 hasConcept C55493867 @default.
• W4297777502 hasConcept C71924100 @default.
• W4297777502 hasConcept C81669768 @default.
• W4297777502 hasConceptScore W4297777502C104317684 @default.
• W4297777502 hasConceptScore W4297777502C126322002 @default.
• W4297777502 hasConceptScore W4297777502C127716648 @default.
• W4297777502 hasConceptScore W4297777502C154945302 @default.
• W4297777502 hasConceptScore W4297777502C160735492 @default.
• W4297777502 hasConceptScore W4297777502C162324750 @default.
• W4297777502 hasConceptScore W4297777502C185592680 @default.
• W4297777502 hasConceptScore W4297777502C195910791 @default.
• W4297777502 hasConceptScore W4297777502C204321447 @default.
• W4297777502 hasConceptScore W4297777502C23123220 @default.
• W4297777502 hasConceptScore W4297777502C3020144179 @default.
• W4297777502 hasConceptScore W4297777502C3020646490 @default.
• W4297777502 hasConceptScore W4297777502C41008148 @default.
• W4297777502 hasConceptScore W4297777502C50522688 @default.
• W4297777502 hasConceptScore W4297777502C55493867 @default.
• W4297777502 hasConceptScore W4297777502C71924100 @default.
• W4297777502 hasConceptScore W4297777502C81669768 @default.
• W4297777502 hasLocation W42977775021 @default.
• W4297777502 hasOpenAccess W4297777502 @default.
• W4297777502 hasPrimaryLocation W42977775021 @default.
• W4297777502 hasRelatedWork W1571112163 @default.
• W4297777502 hasRelatedWork W2001121861 @default.
• W4297777502 hasRelatedWork W2101966962 @default.
• W4297777502 hasRelatedWork W2102585996 @default.
• W4297777502 hasRelatedWork W2350178533 @default.
• W4297777502 hasRelatedWork W2350230178 @default.
• W4297777502 hasRelatedWork W2351030537 @default.
• W4297777502 hasRelatedWork W2354429408 @default.
• W4297777502 hasRelatedWork W3107474891 @default.
• W4297777502 hasRelatedWork W83344948 @default.
• W4297777502 isParatext "false" @default.
• W4297777502 isRetracted "false" @default.
• W4297777502 workType "article" @default.