{"id":"https://openalex.org/W4312872588","doi":"https://doi.org/10.1145/3570773.3570865","title":"Construction of Knowledge Graph of Spleen and Stomach Diseases in Traditional Chinese Medicine Based on Neo4j","display_name":"Construction of Knowledge Graph of Spleen and Stomach Diseases in Traditional Chinese Medicine Based on Neo4j","publication_year":2022,"publication_date":"2022-10-13","ids":{"openalex":"https://openalex.org/W4312872588","doi":"https://doi.org/10.1145/3570773.3570865"},"language":"en","primary_location":{"id":"doi:10.1145/3570773.3570865","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3570773.3570865","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","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/A5017270866","display_name":"Can Li","orcid":"https://orcid.org/0000-0001-6762-5572"},"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":true,"raw_author_name":"Can Li","raw_affiliation_strings":["School of Information Engineering, Hubei University of Chinese Medicine, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Hubei University of Chinese Medicine, China","institution_ids":["https://openalex.org/I205016115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059635847","display_name":"Feng Lin","orcid":"https://orcid.org/0000-0001-9152-6806"},"institutions":[{"id":"https://openalex.org/I4210159223","display_name":"Hainan Provincial Hospital of Traditional Chinese Medicine","ror":"https://ror.org/04xar0g84","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210159223"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Lin","raw_affiliation_strings":["Hai Nan Traditional Chinese Medicine Hospital, China"],"affiliations":[{"raw_affiliation_string":"Hai Nan Traditional Chinese Medicine Hospital, China","institution_ids":["https://openalex.org/I4210159223"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009568323","display_name":"Dan Xie","orcid":"https://orcid.org/0000-0003-3856-6117"},"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":"Dan Xie","raw_affiliation_strings":["School of Information Engineering, Hubei University of Chinese Medicine, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Hubei University of Chinese Medicine, China","institution_ids":["https://openalex.org/I205016115"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5017270866"],"corresponding_institution_ids":["https://openalex.org/I205016115"],"apc_list":null,"apc_paid":null,"fwci":0.3087,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.68681513,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"294","last_page":"301"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.7268000245094299,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.7268000245094299,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.1468999981880188,"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":0.025100000202655792,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6446739435195923},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5588997602462769},{"id":"https://openalex.org/keywords/stomach","display_name":"Stomach","score":0.515889048576355},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.4750649631023407},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4494572877883911},{"id":"https://openalex.org/keywords/spleen","display_name":"Spleen","score":0.43743646144866943},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.4120021462440491},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32426759600639343},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2234889566898346},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.14021778106689453},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.11811262369155884},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1142888069152832}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6446739435195923},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5588997602462769},{"id":"https://openalex.org/C2779422922","wikidata":"https://www.wikidata.org/wiki/Q1029907","display_name":"Stomach","level":2,"score":0.515889048576355},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.4750649631023407},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4494572877883911},{"id":"https://openalex.org/C2780931953","wikidata":"https://www.wikidata.org/wiki/Q9371","display_name":"Spleen","level":2,"score":0.43743646144866943},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.4120021462440491},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32426759600639343},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2234889566898346},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.14021778106689453},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.11811262369155884},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1142888069152832}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3570773.3570865","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3570773.3570865","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2354402740","https://openalex.org/W2049784275","https://openalex.org/W2363876635","https://openalex.org/W2060358427","https://openalex.org/W2374622757","https://openalex.org/W1544984348","https://openalex.org/W3025172834","https://openalex.org/W1749343426","https://openalex.org/W3115442681","https://openalex.org/W2391000461"],"abstract_inverted_index":{"Traditional":[0],"Chinese":[1,152],"Medicine":[2],"(TCM)":[3],"has":[4],"a":[5,21,57,63,199],"lot":[6],"of":[7,13,24,50,66,77,104,124,128,134,166,182,187,201,209,251,256,269],"valuable":[8],"experience":[9],"in":[10,30,71,147,231,245],"the":[11,19,75,112,120,125,129,141,145,175,239,246,262,266],"treatment":[12,248],"spleen":[14,67,80,130,188,210,252],"and":[15,35,59,68,73,81,84,91,122,131,153,157,168,189,204,211,223,242,253,264],"stomach":[16,69,82,132,190,212,254],"diseases.":[17],"Over":[18],"years,":[20],"large":[22],"number":[23,200],"clinical":[25,247,267],"resources":[26,250],"have":[27,37],"been":[28],"accumulated":[29],"electronic":[31],"medical":[32,155,159,172],"records":[33],"(EMR),":[34],"researchers":[36],"also":[38],"published":[39],"many":[40],"related":[41,85],"research":[42],"papers.":[43],"In":[44],"order":[45],"to":[46,61,118,236,259],"make":[47],"better":[48,260],"use":[49],"these":[51],"data":[52,89,249],"resources,":[53],"this":[54,232],"paper":[55,233],"introduces":[56],"process":[58],"method":[60],"build":[62],"knowledge":[64,126,185,207,228,241],"graph":[65,127,186,208,229],"diseases":[70,83,133,191,213,255],"TCM,":[72,257],"takes":[74],"EMR":[76],"TCM":[78],"for":[79,101],"literature":[86],"inscriptions":[87],"as":[88,221],"sources,":[90],"selects":[92],"four":[93],"commonly":[94],"used":[95,117],"named":[96],"entity":[97],"recognition":[98],"(NER)":[99],"models":[100],"comparative":[102],"experiments":[103],"NER.":[105],"Then":[106],"relation":[107],"extraction":[108],"is":[109,116,144],"executed.":[110],"Finally,":[111],"neo4j":[113,197],"graphical":[114],"database":[115],"realize":[119],"construction":[121],"visualization":[123],"TCM.":[135,270],"The":[136,184,206,227],"experimental":[137],"results":[138],"showed":[139],"that":[140],"BERT-BiLSTM-CRF":[142],"model":[143,177],"best":[146],"extracting":[148,150,169],"entities,":[149],"symptoms,":[151,203],"Western":[154],"diagnoses,":[156],"other":[158],"entities":[160,173],"with":[161,178],"an":[162,179],"average":[163],"F1":[164],"value":[165,181],"88.31%,":[167],"relationships":[170,244],"between":[171],"using":[174],"BiGRU-Attention":[176],"Acc":[180],"88.26%.":[183],"constructed":[192,230],"can":[193,214],"be":[194,215],"retrieved":[195,216],"under":[196,225],"from":[198,217],"diseases,":[202],"others.":[205],"multiple":[218],"perspectives,":[219],"such":[220],"disease":[222],"symptoms":[224],"neo4j.":[226],"will":[234],"help":[235,258],"deeply":[237],"explore":[238],"potential":[240],"intrinsic":[243],"inherit":[261],"experience,":[263],"improve":[265],"level":[268]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-03T08:47:05.690250","created_date":"2025-10-10T00:00:00"}