{"id":"https://openalex.org/W4312577353","doi":"https://doi.org/10.1145/3570773.3570801","title":"Analysis of the impact of smart medical platform construction on medical willingness","display_name":"Analysis of the impact of smart medical platform construction on medical willingness","publication_year":2022,"publication_date":"2022-10-13","ids":{"openalex":"https://openalex.org/W4312577353","doi":"https://doi.org/10.1145/3570773.3570801"},"language":"en","primary_location":{"id":"doi:10.1145/3570773.3570801","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3570773.3570801","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/A5065149168","display_name":"Jiawei You","orcid":"https://orcid.org/0000-0001-5054-6448"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiawei You","raw_affiliation_strings":["Marketing Department, Wuhan University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Marketing Department, Wuhan University of Technology, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089147246","display_name":"Yun Chen","orcid":"https://orcid.org/0000-0002-8707-797X"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Chen","raw_affiliation_strings":["School of Management, Wuhan University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Management, Wuhan University of Technology, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057630881","display_name":"Yixuan Huang","orcid":"https://orcid.org/0000-0002-6474-7109"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixuan Huang","raw_affiliation_strings":["Marketing Department, Wuhan University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Marketing Department, Wuhan University of Technology, China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065149168"],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19072962,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"185","last_page":"189"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11536","display_name":"Consumer Retail Behavior Studies","score":0.9782000184059143,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11536","display_name":"Consumer Retail Behavior Studies","score":0.9782000184059143,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10068","display_name":"Technology Adoption and User Behaviour","score":0.919700026512146,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/promotion","display_name":"Promotion (chess)","score":0.7167155146598816},{"id":"https://openalex.org/keywords/structural-equation-modeling","display_name":"Structural equation modeling","score":0.6390796899795532},{"id":"https://openalex.org/keywords/port","display_name":"Port (circuit theory)","score":0.5719081163406372},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47367674112319946},{"id":"https://openalex.org/keywords/technology-acceptance-model","display_name":"Technology acceptance model","score":0.46045711636543274},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4221295714378357},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.37803947925567627},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.34084656834602356},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.30974912643432617},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.27546992897987366},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.16089940071105957},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.11481031775474548},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11155980825424194},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.09574839472770691}],"concepts":[{"id":"https://openalex.org/C98147612","wikidata":"https://www.wikidata.org/wiki/Q215599","display_name":"Promotion (chess)","level":3,"score":0.7167155146598816},{"id":"https://openalex.org/C71104824","wikidata":"https://www.wikidata.org/wiki/Q1476639","display_name":"Structural equation modeling","level":2,"score":0.6390796899795532},{"id":"https://openalex.org/C32802771","wikidata":"https://www.wikidata.org/wiki/Q2443617","display_name":"Port (circuit theory)","level":2,"score":0.5719081163406372},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47367674112319946},{"id":"https://openalex.org/C2776185967","wikidata":"https://www.wikidata.org/wiki/Q112945","display_name":"Technology acceptance model","level":3,"score":0.46045711636543274},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4221295714378357},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.37803947925567627},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.34084656834602356},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.30974912643432617},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.27546992897987366},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.16089940071105957},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.11481031775474548},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11155980825424194},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.09574839472770691},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3570773.3570801","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3570773.3570801","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":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W1986401249","https://openalex.org/W2060620208"],"related_works":["https://openalex.org/W2024934382","https://openalex.org/W2303173273","https://openalex.org/W2513767888","https://openalex.org/W3147308590","https://openalex.org/W2296672062","https://openalex.org/W2181838399","https://openalex.org/W2130637816","https://openalex.org/W2046492287","https://openalex.org/W2959583403","https://openalex.org/W2604550836"],"abstract_inverted_index":{"In":[0],"the":[1,14,23,83],"post-epidemic":[2],"era,":[3],"smart":[4,92],"medical":[5,26,35,93],"platforms":[6],"have":[7],"received":[8],"more":[9,11],"and":[10,43,56,61,66,88],"attention.":[12],"Taking":[13],"Wuhan":[15],"area":[16],"as":[17],"an":[18,78],"example,":[19],"this":[20,49],"paper":[21],"explores":[22],"impact":[24],"of":[25,40,53,85],"platform":[27],"construction":[28],"on":[29,47],"urban":[30],"residents'":[31],"willingness":[32],"to":[33,58],"seek":[34],"treatment":[36],"through":[37],"a":[38],"combination":[39],"questionnaire":[41],"surveys":[42],"expert":[44],"interviews.":[45],"Based":[46],"SOR,":[48],"study":[50],"combines":[51],"Theory":[52],"Perceived":[54],"Risk":[55],"TAM":[57],"establish":[59],"model,":[60],"uses":[62],"factor":[63],"regression":[64],"analysis":[65],"structural":[67],"equation":[68],"model":[69],"for":[70,82,91],"hypothesis":[71],"verification.":[72],"The":[73],"research":[74],"results":[75],"can":[76],"provide":[77],"important":[79],"reference":[80],"basis":[81],"development":[84],"targeted":[86],"management":[87],"promotion":[89],"strategies":[90],"port":[94],"managers.":[95]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
