{"id":"https://openalex.org/W4390970164","doi":"https://doi.org/10.1109/bibm58861.2023.10385261","title":"SEDGCN: Sentiment Enhanced Dual Graph Convolutional Networks for Detecting Adverse Drug Reactions","display_name":"SEDGCN: Sentiment Enhanced Dual Graph Convolutional Networks for Detecting Adverse Drug Reactions","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4390970164","doi":"https://doi.org/10.1109/bibm58861.2023.10385261"},"language":"en","primary_location":{"id":"doi:10.1109/bibm58861.2023.10385261","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm58861.2023.10385261","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020350246","display_name":"Yunzhi Qiu","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunzhi Qiu","raw_affiliation_strings":["Dalian University of Technology,School of Computer Science and Technology,Dalian,China","School of Computer Science and Technology, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,School of Computer Science and Technology,Dalian,China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Computer Science and Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100701286","display_name":"Xiaokun Zhang","orcid":"https://orcid.org/0000-0002-9755-2471"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaokun Zhang","raw_affiliation_strings":["Dalian University of Technology,School of Computer Science and Technology,Dalian,China","School of Computer Science and Technology, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,School of Computer Science and Technology,Dalian,China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Computer Science and Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100333123","display_name":"Weiwei Wang","orcid":"https://orcid.org/0000-0001-8698-4474"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Wang","raw_affiliation_strings":["Dalian University of Technology,School of Computer Science and Technology,Dalian,China","School of Computer Science and Technology, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,School of Computer Science and Technology,Dalian,China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Computer Science and Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103325566","display_name":"Youlin Wu","orcid":"https://orcid.org/0009-0004-0565-2478"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youlin Wu","raw_affiliation_strings":["Dalian University of Technology,School of Computer Science and Technology,Dalian,China","School of Computer Science and Technology, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,School of Computer Science and Technology,Dalian,China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Computer Science and Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062895972","display_name":"Bo Xu","orcid":"https://orcid.org/0000-0001-5453-978X"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Xu","raw_affiliation_strings":["Dalian University of Technology,School of Computer Science and Technology,Dalian,China","School of Computer Science and Technology, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,School of Computer Science and Technology,Dalian,China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Computer Science and Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007759001","display_name":"Haifeng Liu","orcid":"https://orcid.org/0000-0002-3619-1211"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Liu","raw_affiliation_strings":["Nanjing Normal University,Department of Computer and Electronic Information,Nanjing,China","Department of Computer and Electronic Information, Nanjing Normal University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing Normal University,Department of Computer and Electronic Information,Nanjing,China","institution_ids":["https://openalex.org/I152031979"]},{"raw_affiliation_string":"Department of Computer and Electronic Information, Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023931221","display_name":"Hongfei Lin","orcid":"https://orcid.org/0000-0003-0872-7688"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongfei Lin","raw_affiliation_strings":["Dalian University of Technology,School of Computer Science and Technology,Dalian,China","School of Computer Science and Technology, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,School of Computer Science and Technology,Dalian,China","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"School of Computer Science and Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5020350246"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":0.921,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72564554,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2183","last_page":"2186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11943","display_name":"Pharmacovigilance and Adverse Drug Reactions","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/3005","display_name":"Toxicology"},"field":{"id":"https://openalex.org/fields/30","display_name":"Pharmacology, Toxicology and Pharmaceutics"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11943","display_name":"Pharmacovigilance and Adverse Drug Reactions","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/3005","display_name":"Toxicology"},"field":{"id":"https://openalex.org/fields/30","display_name":"Pharmacology, Toxicology and Pharmaceutics"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9679999947547913,"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":0.7675129175186157},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.7339038848876953},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6522411704063416},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4857485890388489},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4786747097969055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44478049874305725},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.43087172508239746},{"id":"https://openalex.org/keywords/drug-reaction","display_name":"Drug reaction","score":0.4265982508659363},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32802748680114746},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32179898023605347},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.2515886127948761},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1654917597770691}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7675129175186157},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.7339038848876953},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6522411704063416},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4857485890388489},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4786747097969055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44478049874305725},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.43087172508239746},{"id":"https://openalex.org/C2993432071","wikidata":"https://www.wikidata.org/wiki/Q45959","display_name":"Drug reaction","level":3,"score":0.4265982508659363},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32802748680114746},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32179898023605347},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.2515886127948761},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1654917597770691},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm58861.2023.10385261","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm58861.2023.10385261","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310902","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2317693431","https://openalex.org/W2574184737","https://openalex.org/W2610937402","https://openalex.org/W2788810909","https://openalex.org/W2890681735","https://openalex.org/W2896457183","https://openalex.org/W2955854688","https://openalex.org/W2971220558","https://openalex.org/W3016408864","https://openalex.org/W3020629618","https://openalex.org/W3173753074","https://openalex.org/W3185341429","https://openalex.org/W3196734230","https://openalex.org/W4322706667","https://openalex.org/W4387426885","https://openalex.org/W6732334392","https://openalex.org/W6755207826"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W3009369890","https://openalex.org/W4312490297","https://openalex.org/W2062212388"],"abstract_inverted_index":{"In":[0,70,92],"the":[1,28,60,97,104,126,133,141,151,175,204],"realm":[2],"of":[3,22,31,54,99,132,150,196,206],"medicine":[4],"and":[5,17,102,129,167,169,191,198],"healthcare,":[6],"adverse":[7,29],"drug":[8],"reactions":[9],"(ADRs)":[10],"are":[11],"a":[12,51,82,117,147,160],"significant":[13,52],"contributor":[14],"to":[15,25,34,58,124,145,154],"mortality":[16],"morbidity.":[18],"Consequently,":[19],"it":[20],"is":[21,137],"paramount":[23],"importance":[24],"closely":[26],"observe":[27],"effects":[30],"marketed":[32],"drugs":[33],"minimize":[35],"associated":[36],"risks.":[37],"While":[38],"current":[39],"methods":[40],"for":[41,85,121,179],"Adverse":[42],"Drug":[43],"Reaction":[44],"(ADR)":[45],"detection":[46,87,106],"have":[47,56],"demonstrated":[48],"notable":[49],"efficacy,":[50],"number":[53],"researchers":[55],"failed":[57],"acknowledge":[59],"integral":[61],"role":[62],"that":[63],"sentiment":[64,90,111,127],"information":[65,131],"plays":[66],"in":[67],"this":[68,71,171],"process.":[69],"paper,":[72],"we":[73,94,115,158],"propose":[74],"Sentiment":[75],"Enhanced":[76],"Dual":[77],"Graph":[78],"Convolutional":[79],"Networks":[80],"(SEDGCN),":[81],"novel":[83],"method":[84],"ADRs":[86],"by":[88],"incorporating":[89],"information.":[91],"particular,":[93],"first":[95],"introduce":[96],"concept":[98],"prompt":[100],"learning":[101],"reformulate":[103],"ADR":[105,180],"task":[107],"as":[108],"an":[109],"aspect-level":[110],"analysis":[112],"task.":[113],"Subsequently,":[114],"construct":[116,159],"sentimentenhanced":[118],"dependency":[119],"matrix":[120,136],"each":[122],"sentence":[123],"capture":[125,155],"knowledge":[128],"syntactic":[130],"sentence.":[134,152],"The":[135],"then":[138],"input":[139],"into":[140],"graph":[142,148,162,173,177],"convolutional":[143],"networks":[144],"obtain":[146],"representation":[149,178],"Finally,":[153],"global":[156],"information,":[157],"heterogeneous":[161,172],"based":[163],"on":[164,184],"all":[165],"words":[166],"sentences":[168],"fuse":[170],"with":[174],"sentence-level":[176],"detection.":[181],"Extensive":[182],"experimentation":[183],"two":[185],"publicly":[186],"available":[187],"datasets,":[188],"namely":[189],"TwiMed":[190],"Twitter,":[192],"yielded":[193],"F1":[194],"scores":[195],"78.24%":[197],"75.43%,":[199],"respectively.":[200],"These":[201],"results":[202],"underscore":[203],"efficacy":[205],"our":[207],"proposed":[208],"model.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
