{"id":"https://openalex.org/W4382203045","doi":"https://doi.org/10.1109/access.2023.3289867","title":"DNN-Based Hospital Service Satisfaction Using GCNNs Learning","display_name":"DNN-Based Hospital Service Satisfaction Using GCNNs Learning","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4382203045","doi":"https://doi.org/10.1109/access.2023.3289867"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3289867","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2023.3289867","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10164100.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10164100.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006991672","display_name":"Zichen Song","orcid":"https://orcid.org/0000-0003-4155-2410"},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zichen Song","raw_affiliation_strings":["School of Information Science and Engineering, Lanzhou University, Lanzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4155-2410","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Lanzhou University, Lanzhou, China","institution_ids":["https://openalex.org/I76214153"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100536665","display_name":"Shan Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152533","display_name":"Lanzhou University of Finance and Economics","ror":"https://ror.org/04v7yv031","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152533"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shan Ma","raw_affiliation_strings":["School of Mathematics and Statistics, Lanzhou University, Lanzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Lanzhou University, Lanzhou, China","institution_ids":["https://openalex.org/I4210152533"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.6698,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.87864804,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"11","issue":null,"first_page":"65289","last_page":"65299"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9417999982833862,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.9416999816894531,"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/overfitting","display_name":"Overfitting","score":0.8525770902633667},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7693138122558594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7058359384536743},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6335539817810059},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5900405049324036},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5638751983642578},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.509891152381897},{"id":"https://openalex.org/keywords/triage","display_name":"Triage","score":0.5037235617637634},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.47259339690208435},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3517797887325287}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8525770902633667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7693138122558594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7058359384536743},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6335539817810059},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5900405049324036},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5638751983642578},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.509891152381897},{"id":"https://openalex.org/C2777120189","wikidata":"https://www.wikidata.org/wiki/Q780067","display_name":"Triage","level":2,"score":0.5037235617637634},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.47259339690208435},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3517797887325287},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3289867","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2023.3289867","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10164100.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:42d469a729334bacbf96066671b62e1c","is_oa":true,"landing_page_url":"https://doaj.org/article/42d469a729334bacbf96066671b62e1c","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":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 65289-65299 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3289867","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2023.3289867","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10164100.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4382203045.pdf","grobid_xml":"https://content.openalex.org/works/W4382203045.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W2803881474","https://openalex.org/W2807154909","https://openalex.org/W2892817998","https://openalex.org/W2921384086","https://openalex.org/W2942231644","https://openalex.org/W2949767632","https://openalex.org/W2952979195","https://openalex.org/W2955496224","https://openalex.org/W3018419633","https://openalex.org/W3019913914","https://openalex.org/W3035383331","https://openalex.org/W3049165497","https://openalex.org/W3096947210","https://openalex.org/W3129190863","https://openalex.org/W3137884833","https://openalex.org/W3138170804","https://openalex.org/W3155194266","https://openalex.org/W3155966371","https://openalex.org/W3182944083","https://openalex.org/W3217378117","https://openalex.org/W4211128972","https://openalex.org/W4226377196","https://openalex.org/W4226492624","https://openalex.org/W4285264320","https://openalex.org/W4293499297","https://openalex.org/W4293732323","https://openalex.org/W4293869198","https://openalex.org/W4295308577","https://openalex.org/W4297094744"],"related_works":["https://openalex.org/W2989932438","https://openalex.org/W3099765033","https://openalex.org/W4285802257","https://openalex.org/W4380075502","https://openalex.org/W4223943233","https://openalex.org/W4312200629","https://openalex.org/W4360585206","https://openalex.org/W3035162004","https://openalex.org/W4210794429","https://openalex.org/W4361732492"],"abstract_inverted_index":{"Hospital":[0],"patient":[1,33],"service":[2,34],"satisfaction":[3,35],"prediction":[4,13,53,89],"technology":[5],"based":[6,26,82,95],"on":[7,27,75,83,96],"supervised":[8,105],"learning":[9,106],"can":[10],"obtain":[11],"higher":[12,100],"accuracy":[14,54,90],"by":[15],"training":[16],"image":[17],"data.":[18],"This":[19],"paper":[20],"proposes":[21],"a":[22,71,134,138],"deep":[23,72,92],"neural":[24,73,93],"network":[25,74],"continuous":[28],"sample":[29],"data":[30,49,68,85,112],"to":[31,128,142],"predict":[32],"in":[36,132],"hospitals,":[37],"which":[38],"overcomes":[39],"the":[40,52,64,67,76,88,109,115,120],"problem":[41],"of":[42,45,66,91,103,117],"high":[43],"cost":[44],"collecting":[46],"additional":[47],"labeled":[48,59,111],"while":[50],"improving":[51],"Furthermore,":[55],"our":[56],"model":[57],"converts":[58],"samples":[60],"into":[61],"images":[62],"reflecting":[63],"characteristics":[65],"and":[69,136],"trains":[70],"resulting":[77],"dataset,":[78],"avoiding":[79],"overfitting.":[80],"Results":[81],"experimental":[84],"show":[86],"that":[87,102],"networks":[94],"general-domain":[97],"methods":[98,107],"is":[99],"than":[101],"classical":[104],"using":[108],"same":[110],"collection.":[113],"At":[114],"level":[116],"practical":[118],"application,":[119],"system":[121],"we":[122],"propose":[123],"provides":[124,137],"patients":[125],"with":[126],"indicators":[127],"evaluate":[129],"their":[130],"experience":[131],"choosing":[133],"hospital":[135],"reference":[139],"for":[140],"hospitals":[141],"rationally":[143],"arrange":[144],"medical":[145],"triage.":[146]},"counts_by_year":[{"year":2024,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}