{"id":"https://openalex.org/W4394003138","doi":"https://doi.org/10.1145/3644116.3644270","title":"Research and Design of a Database for Intelligent Medication Taking in Traditional Chinese Medicine","display_name":"Research and Design of a Database for Intelligent Medication Taking in Traditional Chinese Medicine","publication_year":2023,"publication_date":"2023-10-20","ids":{"openalex":"https://openalex.org/W4394003138","doi":"https://doi.org/10.1145/3644116.3644270"},"language":"en","primary_location":{"id":"doi:10.1145/3644116.3644270","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3644116.3644270","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science","raw_type":"proceedings-article"},"type":"conference-paper","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/A5021429359","display_name":"Zhaoyang Liu","orcid":"https://orcid.org/0009-0006-4125-2302"},"institutions":[{"id":"https://openalex.org/I10899854","display_name":"Jiangxi University of Traditional Chinese Medicine","ror":"https://ror.org/03jy32q83","country_code":"CN","type":"education","lineage":["https://openalex.org/I10899854"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoyang Liu","raw_affiliation_strings":["School of Computer, Jiangxi University of Chinese Medicine, China"],"raw_orcid":"https://orcid.org/0009-0006-4125-2302","affiliations":[{"raw_affiliation_string":"School of Computer, Jiangxi University of Chinese Medicine, China","institution_ids":["https://openalex.org/I10899854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033911394","display_name":"Xian Zhou","orcid":"https://orcid.org/0000-0002-2281-7308"},"institutions":[{"id":"https://openalex.org/I10899854","display_name":"Jiangxi University of Traditional Chinese Medicine","ror":"https://ror.org/03jy32q83","country_code":"CN","type":"education","lineage":["https://openalex.org/I10899854"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian Zhou","raw_affiliation_strings":["School of Computer, Jiangxi University of Chinese Medicine, China"],"raw_orcid":"https://orcid.org/0000-0002-2281-7308","affiliations":[{"raw_affiliation_string":"School of Computer, Jiangxi University of Chinese Medicine, China","institution_ids":["https://openalex.org/I10899854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072720099","display_name":"Wangping Xiong","orcid":"https://orcid.org/0000-0003-4992-8558"},"institutions":[{"id":"https://openalex.org/I10899854","display_name":"Jiangxi University of Traditional Chinese Medicine","ror":"https://ror.org/03jy32q83","country_code":"CN","type":"education","lineage":["https://openalex.org/I10899854"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wangping Xiong","raw_affiliation_strings":["School of Computer, Jiangxi University of Chinese Medicine, China"],"raw_orcid":"https://orcid.org/0000-0003-4992-8558","affiliations":[{"raw_affiliation_string":"School of Computer, Jiangxi University of Chinese Medicine, China","institution_ids":["https://openalex.org/I10899854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034289923","display_name":"Jiajun Chen","orcid":"https://orcid.org/0009-0002-7929-5077"},"institutions":[{"id":"https://openalex.org/I10899854","display_name":"Jiangxi University of Traditional Chinese Medicine","ror":"https://ror.org/03jy32q83","country_code":"CN","type":"education","lineage":["https://openalex.org/I10899854"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Chen","raw_affiliation_strings":["School of Computer, Jiangxi University of Chinese Medicine, China"],"raw_orcid":"https://orcid.org/0009-0002-7929-5077","affiliations":[{"raw_affiliation_string":"School of Computer, Jiangxi University of Chinese Medicine, China","institution_ids":["https://openalex.org/I10899854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080851432","display_name":"Tao Xu","orcid":"https://orcid.org/0009-0003-5719-7289"},"institutions":[{"id":"https://openalex.org/I10899854","display_name":"Jiangxi University of Traditional Chinese Medicine","ror":"https://ror.org/03jy32q83","country_code":"CN","type":"education","lineage":["https://openalex.org/I10899854"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Xu","raw_affiliation_strings":["School of Computer, Jiangxi University of Chinese Medicine, China"],"raw_orcid":"https://orcid.org/0009-0003-5719-7289","affiliations":[{"raw_affiliation_string":"School of Computer, Jiangxi University of Chinese Medicine, China","institution_ids":["https://openalex.org/I10899854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059679852","display_name":"Zhaoxing Xu","orcid":"https://orcid.org/0009-0007-0923-0063"},"institutions":[{"id":"https://openalex.org/I102882674","display_name":"Beijing Institute of Fashion Technology","ror":"https://ror.org/03hgxtg28","country_code":"CN","type":"education","lineage":["https://openalex.org/I102882674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoxing Xu","raw_affiliation_strings":["Big Data College, Jiangxi Institute of Fashion Technology, China"],"raw_orcid":"https://orcid.org/0009-0007-0923-0063","affiliations":[{"raw_affiliation_string":"Big Data College, Jiangxi Institute of Fashion Technology, China","institution_ids":["https://openalex.org/I102882674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.643,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87010309,"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":"898","last_page":"903"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9969000220298767,"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":0.9969000220298767,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.97079998254776,"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":0.9474999904632568,"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":0.6624807119369507},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.5087535977363586},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3554195761680603}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6624807119369507},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.5087535977363586},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3554195761680603}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3644116.3644270","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3644116.3644270","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science","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":4,"referenced_works":["https://openalex.org/W2761330267","https://openalex.org/W2893214677","https://openalex.org/W3046375318","https://openalex.org/W4386827007"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"With":[0],"the":[1,14,25,28,43,51,60,79,86,89,96,105,131,134,144,155,157,164,171,174,176,179,183,191,195,209,235,245],"continuous":[2],"development":[3],"of":[4,16,27,45,53,71,88,104,108,111,114,194,208,211,224,228,243,247],"computer":[5],"technology":[6],"and":[7,24,37,56,74,78,92,95,128,133,136,152,159,185,199,213],"database":[8,29,44,61,141,204,212,250],"technology,":[9],"its":[10],"auxiliary":[11],"role":[12],"in":[13,130,154],"study":[15,246],"traditional":[17,31],"Chinese":[18,32,72,216],"medicine":[19,33,73,217],"is":[20,34,119,146,205,220],"also":[21],"gradually":[22],"revealed,":[23],"impact":[26],"on":[30,168],"becoming":[35],"more":[36,38],"obvious.":[39],"In":[40],"this":[41,257],"paper,":[42],"medication":[46,203,214,249],"can":[47,82],"be":[48,83,122,252],"served":[49],"has":[50],"advantages":[52],"simple":[54],"interface":[55,172,197],"quick":[57],"start,":[58],"meanwhile,":[59],"includes":[62],"data":[63,180],"from":[64],"three":[65],"aspects,":[66],"namely,":[67],"ancient":[68,218],"books,":[69],"masters":[70],"modern":[75],"clinical":[76],"prescriptions,":[77],"available":[80],"prescriptions":[81,98],"queried":[84,97],"by":[85,143],"name":[87],"prescription,":[90],"alias":[91],"applicable":[93],"symptoms,":[94],"contain":[99],"information":[100],"such":[101],"as":[102],"dosage":[103],"medicine,":[106],"time":[107],"serving,":[109,112,115],"temperature":[110],"frequency":[113],"etc.":[116],"The":[117,140],"system":[118,145],"designed":[120,142],"to":[121,126,150,173,182,188,238,254],"easy":[123],"for":[124,148],"users":[125,149],"use":[127,151],"maintain":[129,153],"background,":[132,156],"front-end":[135,177],"back-end":[137],"are":[138,162],"separated.":[139],"convenient":[147],"front":[158],"back":[160],"ends":[161],"separated,":[163],"background":[165],"only":[166,186],"focuses":[167],"algorithms,":[169],"improves":[170],"front-end,":[175,196],"displays":[178],"according":[181],"interface,":[184],"needs":[187],"deal":[189],"with":[190],"business":[192],"logic":[193],"optimization":[198],"so":[200],"on.":[201],"Intelligent":[202],"a":[206,221,226,240],"product":[207],"combination":[210],"method,":[215],"literature":[219],"huge":[222],"number":[223],"documents,":[225],"variety":[227],"types,":[229],"complex":[230],"content,":[231],"manually":[232],"go":[233],"through":[234],"original":[236],"text":[237],"obtain":[239],"limited":[241],"amount":[242],"information,":[244],"intelligent":[248],"will":[251],"able":[253],"well":[255],"solve":[256],"problem.":[258]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}