{"id":"https://openalex.org/W4380633367","doi":"https://doi.org/10.31577/cai_2023_2_411","title":"MGCN: Medical Relation Extraction Based on GCN","display_name":"MGCN: Medical Relation Extraction Based on GCN","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4380633367","doi":"https://doi.org/10.31577/cai_2023_2_411"},"language":"en","primary_location":{"id":"doi:10.31577/cai_2023_2_411","is_oa":true,"landing_page_url":"https://doi.org/10.31577/cai_2023_2_411","pdf_url":"https://www.cai.sk/ojs/index.php/cai/article/download/2023_2_411/1223","source":{"id":"https://openalex.org/S4210200093","display_name":"Computing and Informatics","issn_l":"1335-9150","issn":["1335-9150","2585-8807"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing and Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.cai.sk/ojs/index.php/cai/article/download/2023_2_411/1223","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004350258","display_name":"Yongpan Wang","orcid":"https://orcid.org/0009-0003-7909-2576"},"institutions":[{"id":"https://openalex.org/I143413998","display_name":"Qingdao University of Science and Technology","ror":"https://ror.org/041j8js14","country_code":"CN","type":"education","lineage":["https://openalex.org/I143413998"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongpan Wang","raw_affiliation_strings":["College of Information Science and Technology, Qingdao University of Science and Technology, Qingdao, 266061, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Qingdao University of Science and Technology, Qingdao, 266061, China","institution_ids":["https://openalex.org/I143413998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100371150","display_name":"Yong Liu","orcid":"https://orcid.org/0000-0003-3045-0179"},"institutions":[{"id":"https://openalex.org/I143413998","display_name":"Qingdao University of Science and Technology","ror":"https://ror.org/041j8js14","country_code":"CN","type":"education","lineage":["https://openalex.org/I143413998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Liu","raw_affiliation_strings":["College of Information Science and Technology, Qingdao University of Science and Technology, Qingdao, 266061, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Qingdao University of Science and Technology, Qingdao, 266061, China","institution_ids":["https://openalex.org/I143413998"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101609540","display_name":"Jianyi Zhang","orcid":"https://orcid.org/0000-0002-1501-4822"},"institutions":[{"id":"https://openalex.org/I143413998","display_name":"Qingdao University of Science and Technology","ror":"https://ror.org/041j8js14","country_code":"CN","type":"education","lineage":["https://openalex.org/I143413998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianyi Zhang","raw_affiliation_strings":["College of Information Science and Technology, Qingdao University of Science and Technology, Qingdao, 266061, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Qingdao University of Science and Technology, Qingdao, 266061, China","institution_ids":["https://openalex.org/I143413998"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004350258"],"corresponding_institution_ids":["https://openalex.org/I143413998"],"apc_list":null,"apc_paid":null,"fwci":0.7613,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.72471865,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"42","issue":"2","first_page":"411","last_page":"435"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9901000261306763,"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"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9901000261306763,"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/T10028","display_name":"Topic Modeling","score":0.9896000027656555,"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/T11719","display_name":"Data Quality and Management","score":0.9373000264167786,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.9489597678184509},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.7771517634391785},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7135676741600037},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6200097799301147},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5941794514656067},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.5825550556182861},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5528969168663025},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4547322690486908},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.45438066124916077},{"id":"https://openalex.org/keywords/health-informatics","display_name":"Health informatics","score":0.43276792764663696},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.4311448931694031},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4190562665462494},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.397480845451355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31309932470321655},{"id":"https://openalex.org/keywords/public-health","display_name":"Public health","score":0.2241969108581543},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.18462976813316345},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11458244919776917},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1051795482635498},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.0854753851890564}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9489597678184509},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.7771517634391785},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7135676741600037},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6200097799301147},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5941794514656067},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.5825550556182861},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5528969168663025},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4547322690486908},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.45438066124916077},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.43276792764663696},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4311448931694031},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4190562665462494},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.397480845451355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31309932470321655},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.2241969108581543},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.18462976813316345},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11458244919776917},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1051795482635498},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0854753851890564},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"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/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.31577/cai_2023_2_411","is_oa":true,"landing_page_url":"https://doi.org/10.31577/cai_2023_2_411","pdf_url":"https://www.cai.sk/ojs/index.php/cai/article/download/2023_2_411/1223","source":{"id":"https://openalex.org/S4210200093","display_name":"Computing and Informatics","issn_l":"1335-9150","issn":["1335-9150","2585-8807"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing and Informatics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.31577/cai_2023_2_411","is_oa":true,"landing_page_url":"https://doi.org/10.31577/cai_2023_2_411","pdf_url":"https://www.cai.sk/ojs/index.php/cai/article/download/2023_2_411/1223","source":{"id":"https://openalex.org/S4210200093","display_name":"Computing and Informatics","issn_l":"1335-9150","issn":["1335-9150","2585-8807"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing and Informatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5535402521","display_name":null,"funder_award_id":"KEXUE2019GZ04","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"}],"funders":[{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4380633367.pdf"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W24163152","https://openalex.org/W143521272","https://openalex.org/W205829674","https://openalex.org/W1489949474","https://openalex.org/W1512387364","https://openalex.org/W1522301498","https://openalex.org/W1598003989","https://openalex.org/W1662382123","https://openalex.org/W1888005072","https://openalex.org/W2103330371","https://openalex.org/W2105286307","https://openalex.org/W2132083787","https://openalex.org/W2148932298","https://openalex.org/W2162590473","https://openalex.org/W2250521169","https://openalex.org/W2293023260","https://openalex.org/W2296283641","https://openalex.org/W2327091741","https://openalex.org/W2347085041","https://openalex.org/W2577117565","https://openalex.org/W2775968236","https://openalex.org/W2808142148","https://openalex.org/W2889224519","https://openalex.org/W2952768212","https://openalex.org/W2962946486","https://openalex.org/W2963020213","https://openalex.org/W2964015378","https://openalex.org/W2964321699","https://openalex.org/W2970183009","https://openalex.org/W2970323499","https://openalex.org/W2970480111","https://openalex.org/W3034617555","https://openalex.org/W3035519046","https://openalex.org/W3088256047","https://openalex.org/W3104097132","https://openalex.org/W3105705953","https://openalex.org/W3167136668","https://openalex.org/W3194836374","https://openalex.org/W3200723995","https://openalex.org/W3207937903","https://openalex.org/W4288104771","https://openalex.org/W4294170691"],"related_works":["https://openalex.org/W2352298027","https://openalex.org/W4319940250","https://openalex.org/W842810586","https://openalex.org/W2092919065","https://openalex.org/W4236762297","https://openalex.org/W3138801416","https://openalex.org/W2369351710","https://openalex.org/W2594363579","https://openalex.org/W2169232658","https://openalex.org/W2444550338"],"abstract_inverted_index":{"With":[0],"the":[1,6,37,44,47,50,58,65,111,124,133,149],"progress":[2],"of":[3,8,25,46,89,106,136,151],"society":[4],"and":[5,14,20,57,97,121],"improvement":[7],"living":[9],"standards,":[10],"people":[11],"pay":[12],"more":[13,15],"attention":[16],"to":[17,63,82,101,114,128],"personal":[18],"health,":[19],"WITMED":[21],"(Wise":[22],"Information":[23],"Technology":[24],"med)":[26],"has":[27,40],"occupied":[28],"an":[29],"important":[30],"position.":[31],"The":[32,92],"relationship":[33,51],"prediction":[34,88,131],"work":[35],"in":[36,156],"medical":[38,53,72,90,144,157],"field":[39],"high":[41],"requirements":[42],"on":[43,141],"interpretability":[45,85],"method,":[48],"but":[49],"between":[52,108,118],"entities":[54],"is":[55],"complex,":[56],"existing":[59],"methods":[60],"are":[61],"difficult":[62],"meet":[64],"requirements.":[66],"This":[67],"paper":[68],"proposes":[69],"a":[70,104,142],"novel":[71],"information":[73,81],"relation":[74,87,130,158],"extraction":[75],"method":[76,93],"MGCN,":[77],"which":[78],"combines":[79],"contextual":[80],"provide":[83],"global":[84],"for":[86,132],"entities.":[91],"uses":[94,110],"Co-occurrence":[95],"Graph":[96,98],"Convolutional":[99],"Network":[100],"build":[102],"up":[103],"network":[105],"relations":[107,117],"entities,":[109,120],"Open-world":[112],"Assumption":[113],"construct":[115],"potential":[116],"associated":[119],"goes":[122],"through":[123],"Knowledge-aware":[125],"Attention":[126],"mechanism":[127],"give":[129],"entity":[134],"pair":[135],"interest.":[137],"Experiments":[138],"were":[139],"conducted":[140],"public":[143],"dataset":[145],"CTF,":[146],"MGCN":[147],"achieved":[148],"score":[150],"0.831,":[152],"demonstrating":[153],"its":[154],"effectiveness":[155],"extraction.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
