Matches in SemOpenAlex for { <https://semopenalex.org/work/W2975318054> ?p ?o ?g. }
- W2975318054 endingPage "149" @default.
- W2975318054 startingPage "142" @default.
- W2975318054 abstract "This article describes the study results in the development of the method of analysis of semi-structured data from electronic health records to improve the quality of data describing patients’ treatment processes. Improving the accuracy of information retrieval from electronic medical records was achieved by using developed problem-solving oriented library. Moreover, the latent-semantic analysis of the electronic health records of chronic patients with chronic heart failure, diabetes mellitus, hypertension was performed. The main tokens characterizing different groups of patients were revealed. The developed library and semantic analysis based on it can be used to accurately automatic extraction of information from semi-structured electronic medical records. Automated markup of medical texts on the Russian language is also possible for the development of artificial intelligence systems and new generation clinical decision support systems." @default.
- W2975318054 created "2019-10-03" @default.
- W2975318054 creator A5039518460 @default.
- W2975318054 creator A5061643178 @default.
- W2975318054 creator A5065936625 @default.
- W2975318054 date "2019-01-01" @default.
- W2975318054 modified "2023-09-25" @default.
- W2975318054 title "Risk markers identification in EHR using natural language processing: hemorrhagic and ischemic stroke cases" @default.
- W2975318054 cites W1597108195 @default.
- W2975318054 cites W1967981232 @default.
- W2975318054 cites W1972978393 @default.
- W2975318054 cites W2023894087 @default.
- W2975318054 cites W2047677296 @default.
- W2975318054 cites W2103193738 @default.
- W2975318054 cites W2122402213 @default.
- W2975318054 cites W2157375578 @default.
- W2975318054 cites W2159583324 @default.
- W2975318054 cites W2208437477 @default.
- W2975318054 cites W2230587849 @default.
- W2975318054 cites W2238966896 @default.
- W2975318054 cites W2292790679 @default.
- W2975318054 cites W2396699558 @default.
- W2975318054 cites W2482354612 @default.
- W2975318054 cites W2735580341 @default.
- W2975318054 cites W2783547086 @default.
- W2975318054 cites W2891469329 @default.
- W2975318054 cites W3122634526 @default.
- W2975318054 cites W70882719 @default.
- W2975318054 doi "https://doi.org/10.1016/j.procs.2019.08.189" @default.
- W2975318054 hasPublicationYear "2019" @default.
- W2975318054 type Work @default.
- W2975318054 sameAs 2975318054 @default.
- W2975318054 citedByCount "3" @default.
- W2975318054 countsByYear W29753180542020 @default.
- W2975318054 countsByYear W29753180542021 @default.
- W2975318054 crossrefType "journal-article" @default.
- W2975318054 hasAuthorship W2975318054A5039518460 @default.
- W2975318054 hasAuthorship W2975318054A5061643178 @default.
- W2975318054 hasAuthorship W2975318054A5065936625 @default.
- W2975318054 hasBestOaLocation W29753180541 @default.
- W2975318054 hasConcept C107327155 @default.
- W2975318054 hasConcept C116834253 @default.
- W2975318054 hasConcept C126322002 @default.
- W2975318054 hasConcept C136764020 @default.
- W2975318054 hasConcept C154945302 @default.
- W2975318054 hasConcept C160735492 @default.
- W2975318054 hasConcept C162324750 @default.
- W2975318054 hasConcept C195910791 @default.
- W2975318054 hasConcept C204321447 @default.
- W2975318054 hasConcept C23123220 @default.
- W2975318054 hasConcept C2522767166 @default.
- W2975318054 hasConcept C2777946921 @default.
- W2975318054 hasConcept C3019952477 @default.
- W2975318054 hasConcept C41008148 @default.
- W2975318054 hasConcept C45874996 @default.
- W2975318054 hasConcept C50522688 @default.
- W2975318054 hasConcept C59822182 @default.
- W2975318054 hasConcept C63527458 @default.
- W2975318054 hasConcept C71924100 @default.
- W2975318054 hasConcept C86803240 @default.
- W2975318054 hasConcept C8797682 @default.
- W2975318054 hasConceptScore W2975318054C107327155 @default.
- W2975318054 hasConceptScore W2975318054C116834253 @default.
- W2975318054 hasConceptScore W2975318054C126322002 @default.
- W2975318054 hasConceptScore W2975318054C136764020 @default.
- W2975318054 hasConceptScore W2975318054C154945302 @default.
- W2975318054 hasConceptScore W2975318054C160735492 @default.
- W2975318054 hasConceptScore W2975318054C162324750 @default.
- W2975318054 hasConceptScore W2975318054C195910791 @default.
- W2975318054 hasConceptScore W2975318054C204321447 @default.
- W2975318054 hasConceptScore W2975318054C23123220 @default.
- W2975318054 hasConceptScore W2975318054C2522767166 @default.
- W2975318054 hasConceptScore W2975318054C2777946921 @default.
- W2975318054 hasConceptScore W2975318054C3019952477 @default.
- W2975318054 hasConceptScore W2975318054C41008148 @default.
- W2975318054 hasConceptScore W2975318054C45874996 @default.
- W2975318054 hasConceptScore W2975318054C50522688 @default.
- W2975318054 hasConceptScore W2975318054C59822182 @default.
- W2975318054 hasConceptScore W2975318054C63527458 @default.
- W2975318054 hasConceptScore W2975318054C71924100 @default.
- W2975318054 hasConceptScore W2975318054C86803240 @default.
- W2975318054 hasConceptScore W2975318054C8797682 @default.
- W2975318054 hasFunder F4320321912 @default.
- W2975318054 hasLocation W29753180541 @default.
- W2975318054 hasOpenAccess W2975318054 @default.
- W2975318054 hasPrimaryLocation W29753180541 @default.
- W2975318054 hasRelatedWork W1525073044 @default.
- W2975318054 hasRelatedWork W1600429586 @default.
- W2975318054 hasRelatedWork W1806995473 @default.
- W2975318054 hasRelatedWork W2014723379 @default.
- W2975318054 hasRelatedWork W2031477912 @default.
- W2975318054 hasRelatedWork W2293457016 @default.
- W2975318054 hasRelatedWork W2359001871 @default.
- W2975318054 hasRelatedWork W2502635255 @default.
- W2975318054 hasRelatedWork W2606016076 @default.
- W2975318054 hasRelatedWork W2977842567 @default.
- W2975318054 hasVolume "156" @default.
- W2975318054 isParatext "false" @default.