乐胖代购免代理版

{"id":"https://openalex.org/W4220879105","doi":"https://doi.org/10.1016/j.array.2022.100140","title":"GARD: Gender difference analysis and recognition based on machine learning","display_name":"GARD: Gender difference analysis and recognition based on machine learning","publication_year":2022,"publication_date":"2022-03-25","ids":{"openalex":"https://openalex.org/W4220879105","doi":"https://doi.org/10.1016/j.array.2022.100140"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.array.2022.100140","pdf_url":null,"source":{"id":"https://openalex.org/S4210194039","display_name":"Array","issn_l":"2590-0056","issn":["2590-0056"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1016/j.array.2022.100140","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046019676","display_name":"Shiwen He","orcid":"https://orcid.org/0000-0003-0549-4970"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]},{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shiwen He","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China","School of Computer Science and Engineering, Central South University, Changsha 410083, China","The Purple Mountain Laboratories, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha 410083, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"The Purple Mountain Laboratories, China","institution_ids":["https://openalex.org/I4210155350"]},{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070170275","display_name":"Jian Song","orcid":"https://orcid.org/0000-0001-9957-6533"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Song","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha 410083, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha 410083, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112893093","display_name":"Yeyu Ou","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yeyu Ou","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha 410083, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha 410083, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006403709","display_name":"Yuanhong Yuan","orcid":"https://orcid.org/0000-0002-8010-9553"},"institutions":[{"id":"https://openalex.org/I4210132733","display_name":"Hunan Children's Hospital","ror":"https://ror.org/03e207173","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210132733"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuanhong Yuan","raw_affiliation_strings":["Emergency Center of Hunan Children's Hospital, Changsha 410007, China"],"affiliations":[{"raw_affiliation_string":"Emergency Center of Hunan Children's Hospital, Changsha 410007, China","institution_ids":["https://openalex.org/I4210132733"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100718556","display_name":"Xiaojie Zhang","orcid":"https://orcid.org/0009-0005-6576-1876"},"institutions":[{"id":"https://openalex.org/I4210153856","display_name":"Second Xiangya Hospital of Central South University","ror":"https://ror.org/053v2gh09","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210153856"]},{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojie Zhang","raw_affiliation_strings":["Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha 410011, China","National Clinical Research Center for Mental Disorders, Changsha, 410011, China"],"affiliations":[{"raw_affiliation_string":"Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha 410011, China","institution_ids":["https://openalex.org/I4210153856","https://openalex.org/I139660479"]},{"raw_affiliation_string":"National Clinical Research Center for Mental Disorders, Changsha, 410011, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100530253","display_name":"Xiaohua Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I83519826","display_name":"Nanjing Medical University","ror":"https://ror.org/059gcgy73","country_code":"CN","type":"education","lineage":["https://openalex.org/I83519826"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohua Xu","raw_affiliation_strings":["Department of Endocrinology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210012, China"],"affiliations":[{"raw_affiliation_string":"Department of Endocrinology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210012, China","institution_ids":["https://openalex.org/I83519826"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5046019676","https://openalex.org/A5006403709"],"corresponding_institution_ids":["https://openalex.org/I139660479","https://openalex.org/I4210155350","https://openalex.org/I76569877","https://openalex.org/I4210132733"],"apc_list":{"value":1350,"currency":"USD","value_usd":1350,"provenance":"doaj"},"apc_paid":{"value":1350,"currency":"USD","value_usd":1350,"provenance":"doaj"},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":60},"biblio":{"volume":"14","issue":null,"first_page":"100140","last_page":"100140"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9549,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9549,"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/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.908,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/medical-knowledge","display_name":"Medical knowledge","score":0.43599582}],"concepts":[{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.51459825},{"id":"https://openalex.org/C3018023364","wikidata":"https://www.wikidata.org/wiki/Q425265","display_name":"Significant difference","level":2,"score":0.502084},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4430977},{"id":"https://openalex.org/C2985722590","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medical knowledge","level":2,"score":0.43599582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43423215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43232083},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.38775146},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36411667},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.24691248},{"id":"https://openalex.org/C509550671","wikidata":"https://www.wikidata.org/wiki/Q126945","display_name":"Medical education","level":1,"score":0.18336675},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15826541},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14335287},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10972121},{"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.array.2022.100140","pdf_url":null,"source":{"id":"https://openalex.org/S4210194039","display_name":"Array","issn_l":"2590-0056","issn":["2590-0056"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://doaj.org/article/5e0413e897254c39acaba4e90002088f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.array.2022.100140","pdf_url":null,"source":{"id":"https://openalex.org/S4210194039","display_name":"Array","issn_l":"2590-0056","issn":["2590-0056"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"score":0.45,"id":"https://metadata.un.org/sdg/4","display_name":"Quality education"}],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":null}],"datasets":[],"versions":[],"referenced_works_count":17,"referenced_works":["https://openalex.org/W127074392","https://openalex.org/W1678356000","https://openalex.org/W2032337539","https://openalex.org/W2097616065","https://openalex.org/W2140785063","https://openalex.org/W2506888547","https://openalex.org/W2779914547","https://openalex.org/W2793512971","https://openalex.org/W2808645071","https://openalex.org/W2911964244","https://openalex.org/W2963360736","https://openalex.org/W2995818629","https://openalex.org/W3124513372","https://openalex.org/W3124564423","https://openalex.org/W3157070496","https://openalex.org/W385926449","https://openalex.org/W4249283933"],"related_works":["https://openalex.org/W4306674287","https://openalex.org/W4286629047","https://openalex.org/W4250956252","https://openalex.org/W4224009465","https://openalex.org/W4205958290","https://openalex.org/W2984468769","https://openalex.org/W2961085424","https://openalex.org/W2390841559","https://openalex.org/W2248928492","https://openalex.org/W2107962325"],"abstract_inverted_index":{"In":[0,27],"recent":[1],"years,":[2],"intelligent":[3,6],"diagnosis":[4],"and":[5,40,48,52,76],"medical":[7,14,22,43,60,79,141,176],"treatment":[8],"based":[9],"on":[10],"big":[11],"data":[12],"of":[13,21,54,123,132,147],"examinations":[15],"have":[16,57],"become":[17],"the":[18,25,36,63,72,113,118,130,133,140,166],"main":[19],"trend":[20],"development":[23],"in":[24,42,59,78],"future.":[26],"this":[28],"paper,":[29],"we":[30,104],"propose":[31,105],"a":[32,99,144,155],"method":[33,66],"for":[34,93],"analyzing":[35],"difference":[37,148],"between":[38,74],"males":[39,51],"females":[41,53],"examination":[44,80],"items":[45],"(medical":[46],"attributes)":[47],"find":[49],"that":[50,83,89,139],"different":[55],"ages":[56],"differences":[58,73],"attributes.":[61,177],"Then,":[62],"cluster":[64],"analysis":[65],"is":[67],"used":[68,92],"to":[69,116,128,151,162],"further":[70],"analyze":[71],"male":[75],"female":[77],"items,":[81],"such":[82,159],"some":[84],"common":[85],"important":[86],"attributes":[87,142],"(CIAs)":[88],"can":[90,169],"be":[91],"gender":[94,107,152],"recognition":[95,108],"are":[96,126],"found":[97,114],"within":[98],"specific":[100],"age":[101,157],"range.":[102],"Following,":[103],"two":[106],"models":[109],"(GRMs)":[110],"by":[111],"using":[112,173],"CIAs":[115],"identify":[117],"gender.":[119],"A":[120],"large":[121,145],"number":[122],"experimental":[124],"results":[125,137],"provided":[127],"validate":[129],"effectiveness":[131],"proposed":[134,167],"GRMs.":[135],"Experimental":[136],"show":[138],"with":[143],"value":[146],"really":[149],"contribute":[150],"recognition.":[153],"Within":[154],"certain":[156],"range,":[158],"as":[160],"17":[161],"51":[163],"years":[164],"old,":[165],"GRM":[168],"reach":[170],"92.8%":[171],"accuracy":[172],"only":[174],"six":[175]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4220879105","counts_by_year":[],"updated_date":"2025-01-17T21:16:43.434364","created_date":"2022-04-03"}