{"id":"https://openalex.org/W4406327992","doi":"https://doi.org/10.1145/3706890.3706997","title":"Construction and application of medical history knowledge graph based on UIE model fine-tuning","display_name":"Construction and application of medical history knowledge graph based on UIE model fine-tuning","publication_year":2024,"publication_date":"2024-08-13","ids":{"openalex":"https://openalex.org/W4406327992","doi":"https://doi.org/10.1145/3706890.3706997"},"language":"en","primary_location":{"id":"doi:10.1145/3706890.3706997","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3706890.3706997","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine Science","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/A5115864799","display_name":"Beier Nan","orcid":null},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Beier Nan","raw_affiliation_strings":["College of Science and Technology, Wuhan University of Science and Technology, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0009-0006-1037-1608","affiliations":[{"raw_affiliation_string":"College of Science and Technology, Wuhan University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007757643","display_name":"Jinguang Gu","orcid":"https://orcid.org/0000-0002-8823-8480"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinguang Gu","raw_affiliation_strings":["College of Science and Technology, Wuhan University of Science and Technology, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0002-8823-8480","affiliations":[{"raw_affiliation_string":"College of Science and Technology, Wuhan University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066436167","display_name":"Chen Qiu","orcid":"https://orcid.org/0000-0003-4727-6066"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Qiu","raw_affiliation_strings":["College of Science and Technology, Wuhan University of Science and Technology, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0003-4727-6066","affiliations":[{"raw_affiliation_string":"College of Science and Technology, Wuhan University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015314850","display_name":"J. F. Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I205016115","display_name":"Hubei University of Chinese Medicine","ror":"https://ror.org/02my3bx32","country_code":"CN","type":"education","lineage":["https://openalex.org/I205016115"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyun Wu","raw_affiliation_strings":["College of Information Engineering, Hubei University of Chinese Medicine, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0009-0008-8603-766X","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Hubei University of Chinese Medicine, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I205016115"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5115864799"],"corresponding_institution_ids":["https://openalex.org/I43922553"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22723685,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"621","last_page":"626"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9855999946594238,"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":0.9855999946594238,"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":0.9771000146865845,"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/T13062","display_name":"Cognitive Computing and Networks","score":0.9257000088691711,"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":0.6976258158683777},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4640931487083435},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44462716579437256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29201510548591614},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.25098860263824463}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6976258158683777},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4640931487083435},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44462716579437256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29201510548591614},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.25098860263824463}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3706890.3706997","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3706890.3706997","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine Science","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W138720950","https://openalex.org/W2979250794","https://openalex.org/W3102927640","https://openalex.org/W3185341429","https://openalex.org/W4200419693","https://openalex.org/W4212883688","https://openalex.org/W4242866185","https://openalex.org/W4312445551","https://openalex.org/W4391476942","https://openalex.org/W4392258184","https://openalex.org/W4394770144","https://openalex.org/W4400767234"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Objective:":[0],"To":[1],"achieve":[2],"the":[3,40,70,116,130,138],"automated":[4],"extraction":[5,19,113,145,155],"of":[6,35,51,100,129,140,156,170],"complex":[7,178],"medical":[8,14,26,36,42,53,88,101,118,132,158,164,171,179],"history":[9,27,43,54,89,119,159,180],"knowledge":[10,28,32,49,62,160,181],"from":[11,161],"Chinese":[12,52,162],"electronic":[13,163],"records,":[15],"a":[16,31,47,64,98,127,168],"fine-tuned":[17,74,80,105],"UIE":[18,71,81,106],"model":[20,72,82,107],"is":[21],"utilized":[22],"to":[23,86,96],"automatically":[24],"obtain":[25],"and":[29,69,94,111,123,143,166,176],"construct":[30],"graph":[33],"(KG)":[34],"histories.":[37,102,172],"Method:":[38],"Taking":[39],"current":[41,131],"as":[44],"an":[45],"example,":[46],"fundamental":[48],"base":[50],"was":[55,67,73,83,92,121],"first":[56],"built.":[57],"Then,":[58],"based":[59],"on":[60],"this":[61,76],"base,":[63],"training":[65,77,148],"set":[66],"annotated,":[68],"using":[75],"set.":[78],"The":[79,104],"then":[84],"used":[85],"extract":[87],"knowledge,":[90],"which":[91],"processed":[93,122],"stored":[95],"generate":[97],"KG":[99,128,169],"Results:":[103],"achieved":[108],"entity,":[109,141],"relationship,":[110],"event":[112,144],"tasks.":[114],"Subsequently,":[115],"extracted":[117],"information":[120],"stored,":[124],"successfully":[125],"constructing":[126,167],"history.":[133],"Conclusion:":[134],"This":[135],"method":[136],"realizes":[137],"completion":[139],"relation,":[142],"tasks":[146],"by":[147],"only":[149],"one":[150],"model,":[151],"efficiently":[152],"achieving":[153],"automatic":[154],"specified":[157],"records":[165],"It":[173],"helps":[174],"organize":[175],"analyze":[177],"for":[182],"clinical":[183],"use,":[184],"offering":[185],"practical":[186],"value.":[187]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
