{"id":"https://openalex.org/W2741237333","doi":"https://doi.org/10.18653/v1/w17-2345","title":"Clinical Event Detection with Hybrid Neural Architecture","display_name":"Clinical Event Detection with Hybrid Neural Architecture","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2741237333","doi":"https://doi.org/10.18653/v1/w17-2345","mag":"2741237333"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w17-2345","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-2345","pdf_url":"https://www.aclweb.org/anthology/W17-2345.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BioNLP 2017","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W17-2345.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048025332","display_name":"Adyasha Maharana","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Adyasha Maharana","raw_affiliation_strings":["Biomedical and Health Informatics University of Washington, Seattle"],"affiliations":[{"raw_affiliation_string":"Biomedical and Health Informatics University of Washington, Seattle","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002548520","display_name":"Meliha Yeti\u015fgen","orcid":"https://orcid.org/0000-0001-9919-9811"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Meliha Yetisgen","raw_affiliation_strings":["Biomedical and Health Informatics University of Washington, Seattle"],"affiliations":[{"raw_affiliation_string":"Biomedical and Health Informatics University of Washington, Seattle","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048025332"],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":0.39,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70082633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"351","last_page":"355"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8152951002120972},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6621799468994141},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.6241496801376343},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.6135917901992798},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5703843832015991},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5566455125808716},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5482193231582642},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5235102772712708},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5206288695335388},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.51910400390625},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49552953243255615},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.47046101093292236},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4634757936000824},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35739052295684814},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3340815305709839},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.2516220211982727}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8152951002120972},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6621799468994141},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.6241496801376343},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.6135917901992798},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5703843832015991},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5566455125808716},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5482193231582642},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5235102772712708},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5206288695335388},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.51910400390625},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49552953243255615},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.47046101093292236},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4634757936000824},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35739052295684814},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3340815305709839},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2516220211982727},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w17-2345","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-2345","pdf_url":"https://www.aclweb.org/anthology/W17-2345.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BioNLP 2017","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w17-2345","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-2345","pdf_url":"https://www.aclweb.org/anthology/W17-2345.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BioNLP 2017","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2741237333.pdf","grobid_xml":"https://content.openalex.org/works/W2741237333.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1456619997","https://openalex.org/W1985875906","https://openalex.org/W2126975755","https://openalex.org/W2127241285","https://openalex.org/W2137407193","https://openalex.org/W2155276279","https://openalex.org/W2157807817","https://openalex.org/W2162364899","https://openalex.org/W2168041406","https://openalex.org/W2250539671","https://openalex.org/W2296283641","https://openalex.org/W2396881363","https://openalex.org/W2467995757","https://openalex.org/W2469314752","https://openalex.org/W2488984245","https://openalex.org/W2532922193","https://openalex.org/W2963466151"],"related_works":["https://openalex.org/W2356597680","https://openalex.org/W2093471820","https://openalex.org/W50079190","https://openalex.org/W2114846443","https://openalex.org/W3102147106","https://openalex.org/W3012125532","https://openalex.org/W3047727388","https://openalex.org/W2067622664","https://openalex.org/W2937192905","https://openalex.org/W2955050740"],"abstract_inverted_index":{"Event":[0],"detection":[1,53],"from":[2],"clinical":[3,43,81],"notes":[4],"has":[5],"been":[6],"traditionally":[7],"solved":[8],"with":[9,39,56],"rule":[10],"based":[11],"and":[12,24,46,76],"statistical":[13],"natural":[14],"language":[15],"processing":[16],"(NLP)":[17],"approaches":[18],"that":[19],"require":[20],"extensive":[21],"domain":[22],"knowledge":[23],"feature":[25],"engineering.":[26],"In":[27],"this":[28,37],"paper,":[29],"we":[30],"have":[31],"explored":[32],"the":[33,60,70],"feasibility":[34],"of":[35,73],"approaching":[36],"task":[38],"recurrent":[40],"neural":[41,74],"networks,":[42],"word":[44],"embeddings":[45],"introduced":[47],"a":[48],"hybrid":[49],"architecture":[50],"to":[51],"improve":[52],"for":[54],"entities":[55],"smaller":[57],"representation":[58],"in":[59,80],"dataset.":[61],"A":[62],"comparative":[63],"analysis":[64],"is":[65],"also":[66],"done":[67],"which":[68],"reveals":[69],"complementary":[71],"behavior":[72],"networks":[75],"conditional":[77],"random":[78],"fields":[79],"entity":[82],"detection.":[83]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
