{"id":"https://openalex.org/W4285224136","doi":"https://doi.org/10.1109/tdsc.2022.3187973","title":"A Variational AutoEncoder-Based Relational Model for Cost-Effective Automatic Medical Fraud Detection","display_name":"A Variational AutoEncoder-Based Relational Model for Cost-Effective Automatic Medical Fraud Detection","publication_year":2022,"publication_date":"2022-07-12","ids":{"openalex":"https://openalex.org/W4285224136","doi":"https://doi.org/10.1109/tdsc.2022.3187973"},"language":"en","primary_location":{"id":"doi:10.1109/tdsc.2022.3187973","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdsc.2022.3187973","pdf_url":null,"source":{"id":"https://openalex.org/S133795288","display_name":"IEEE Transactions on Dependable and Secure Computing","issn_l":"1545-5971","issn":["1545-5971","1941-0018","2160-9209"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Dependable and Secure Computing","raw_type":"journal-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/A5047093288","display_name":"Jie Chen","orcid":"https://orcid.org/0000-0002-9811-1694"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Chen","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-9811-1694","affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101767335","display_name":"Xiaonan Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaonan Hu","raw_affiliation_strings":["Department of FinTech, ByteDance, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-9533-9282","affiliations":[{"raw_affiliation_string":"Department of FinTech, ByteDance, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040526046","display_name":"Dongyi Yi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094699","display_name":"Shenzhen Sixth People's Hospital","ror":"https://ror.org/00qftst12","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210094699"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongyi Yi","raw_affiliation_strings":["Department of Network and Technology, Shenzhen Nanshan People&#x0027;s Hospital, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Network and Technology, Shenzhen Nanshan People&#x0027;s Hospital, Shenzhen, China","institution_ids":["https://openalex.org/I4210094699"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018409592","display_name":"Mamoun Alazab","orcid":"https://orcid.org/0000-0002-1928-3704"},"institutions":[{"id":"https://openalex.org/I29894533","display_name":"Charles Darwin University","ror":"https://ror.org/048zcaj52","country_code":"AU","type":"education","lineage":["https://openalex.org/I29894533"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mamoun Alazab","raw_affiliation_strings":["College of Engineering, IT and Environment, Charles Darwin University, Casuarina, NT, Australia"],"raw_orcid":"https://orcid.org/0000-0002-1928-3704","affiliations":[{"raw_affiliation_string":"College of Engineering, IT and Environment, Charles Darwin University, Casuarina, NT, Australia","institution_ids":["https://openalex.org/I29894533"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100393871","display_name":"Jianqiang Li","orcid":"https://orcid.org/0000-0002-2208-962X"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqiang Li","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-2208-962X","affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5047093288"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":1.1098,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81353362,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"20","issue":"4","first_page":"3408","last_page":"3420"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9977999925613403,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9977999925613403,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9689000248908997,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9108999967575073,"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/autoencoder","display_name":"Autoencoder","score":0.9282114505767822},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8272801041603088},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7825958132743835},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5464072823524475},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5366024374961853},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5311079621315002},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.49573075771331787},{"id":"https://openalex.org/keywords/healthcare-industry","display_name":"Healthcare industry","score":0.4833066463470459},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.47523239254951477},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4292146563529968},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.26066192984580994}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.9282114505767822},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8272801041603088},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7825958132743835},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5464072823524475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5366024374961853},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5311079621315002},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.49573075771331787},{"id":"https://openalex.org/C2989086416","wikidata":"https://www.wikidata.org/wiki/Q15067276","display_name":"Healthcare industry","level":3,"score":0.4833066463470459},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.47523239254951477},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4292146563529968},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.26066192984580994},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tdsc.2022.3187973","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdsc.2022.3187973","pdf_url":null,"source":{"id":"https://openalex.org/S133795288","display_name":"IEEE Transactions on Dependable and Secure Computing","issn_l":"1545-5971","issn":["1545-5971","1941-0018","2160-9209"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Dependable and Secure Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3332848674","display_name":null,"funder_award_id":"R2020A045","funder_id":"https://openalex.org/F4320326705","funder_display_name":"Science, Technology and Innovation Commission of Shenzhen Municipality"},{"id":"https://openalex.org/G4429118438","display_name":null,"funder_award_id":"62073225","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7097245526","display_name":null,"funder_award_id":"61836005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8217273170","display_name":null,"funder_award_id":"62072315","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326705","display_name":"Science, Technology and Innovation Commission of Shenzhen Municipality","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1602011302","https://openalex.org/W1875842236","https://openalex.org/W1959608418","https://openalex.org/W1968670396","https://openalex.org/W1982672081","https://openalex.org/W1999786079","https://openalex.org/W2065255264","https://openalex.org/W2068783850","https://openalex.org/W2079023224","https://openalex.org/W2123792643","https://openalex.org/W2131241448","https://openalex.org/W2131904035","https://openalex.org/W2153477625","https://openalex.org/W2158787690","https://openalex.org/W2161816739","https://openalex.org/W2211398142","https://openalex.org/W2343514605","https://openalex.org/W2485514552","https://openalex.org/W2587081929","https://openalex.org/W2726206712","https://openalex.org/W2734863171","https://openalex.org/W2750023899","https://openalex.org/W2751930419","https://openalex.org/W2755041628","https://openalex.org/W2763138175","https://openalex.org/W2769365874","https://openalex.org/W2887788916","https://openalex.org/W2887974490","https://openalex.org/W2897362030","https://openalex.org/W2897687418","https://openalex.org/W2900585917","https://openalex.org/W2904458925","https://openalex.org/W2904685147","https://openalex.org/W2921833330","https://openalex.org/W2947697862","https://openalex.org/W2951653466","https://openalex.org/W2963045681","https://openalex.org/W2963241486","https://openalex.org/W2963523189","https://openalex.org/W2964015378","https://openalex.org/W2976450366","https://openalex.org/W2980449395","https://openalex.org/W2990668210","https://openalex.org/W2998313947","https://openalex.org/W3040266635","https://openalex.org/W3135550350","https://openalex.org/W4297791103","https://openalex.org/W6600415146","https://openalex.org/W6604445452","https://openalex.org/W6607008913","https://openalex.org/W6640963894","https://openalex.org/W6679539681","https://openalex.org/W6680150708","https://openalex.org/W6682894622","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6730084236","https://openalex.org/W6738964360","https://openalex.org/W6751494907","https://openalex.org/W6754019120","https://openalex.org/W6755796437"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3013693939","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W3131327266"],"abstract_inverted_index":{"This":[0],"work":[1,43],"aims":[2],"to":[3,63,82,95],"develop":[4],"a":[5,38,45,113],"framework":[6,109],"of":[7],"automatic":[8,126],"medical":[9,26],"fraud":[10,27,61,66,85,127,130],"detection":[11,128],"(AMFD)":[12],"which":[13,52],"can":[14,53,77],"be":[15],"deployed":[16],"in":[17,31,112,124],"healthcare":[18,79],"industry.":[19],"To":[20],"address":[21],"the":[22,25,65,69,97,104,121],"issue":[23],"that":[24],"labels":[28,62],"are":[29],"insufficient":[30],"both":[32,125],"size":[33],"and":[34,59,99,117,129],"classes":[35],"for":[36],"training":[37],"good":[39],"AMFD":[40],"model,":[41],"this":[42],"proposes":[44],"novel":[46],"Variational":[47],"AutoEncoder-based":[48],"Relational":[49],"Model":[50],"(VAERM)":[51],"simultaneously":[54],"exploit":[55],"Patient-Doctor":[56],"relational":[57],"network":[58],"one-class":[60],"improve":[64],"detection.":[67],"Then,":[68],"proposed":[70,108],"VAERM":[71],"coupled":[72],"with":[73],"active":[74],"learning":[75],"strategy":[76],"assist":[78],"industry":[80],"experts":[81],"conduct":[83],"cost-effective":[84],"investigation.":[86],"Finally,":[87],"we":[88],"propose":[89],"an":[90],"online":[91],"model":[92],"updating":[93],"method":[94],"reduce":[96],"computation":[98],"memory":[100],"requirement":[101],"while":[102],"preserving":[103],"predictive":[105],"performance.":[106],"The":[107],"is":[110],"tested":[111],"real":[114],"world":[115],"dataset":[116],"it":[118],"empirically":[119],"outperforms":[120],"state-of-the-art":[122],"methods":[123],"investigation":[131],"tasks.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
