{"id":"https://openalex.org/W3012331730","doi":"https://doi.org/10.1093/comjnl/bxaa006","title":"Classification Model on Big Data in Medical Diagnosis Based on Semi-Supervised Learning","display_name":"Classification Model on Big Data in Medical Diagnosis Based on Semi-Supervised Learning","publication_year":2020,"publication_date":"2020-01-17","ids":{"openalex":"https://openalex.org/W3012331730","doi":"https://doi.org/10.1093/comjnl/bxaa006","mag":"3012331730"},"language":"en","primary_location":{"id":"doi:10.1093/comjnl/bxaa006","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxaa006","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","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/A5100436059","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0003-0184-307X"},"institutions":[{"id":"https://openalex.org/I4210092817","display_name":"Suzhou Institute of Biomedical Engineering and Technology","ror":"https://ror.org/00f58mx93","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210092817"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Wang","raw_affiliation_strings":["Suzhou Institute of Biomedical Engineering and Technology, Key Laboratory of Biomedical Testing Technology of CAS, Chinese Academy of Sciences, No.88 Keling Road, SND, Suzhou 215163, China"],"affiliations":[{"raw_affiliation_string":"Suzhou Institute of Biomedical Engineering and Technology, Key Laboratory of Biomedical Testing Technology of CAS, Chinese Academy of Sciences, No.88 Keling Road, SND, Suzhou 215163, China","institution_ids":["https://openalex.org/I4210092817","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053673138","display_name":"Qing Qian","orcid":"https://orcid.org/0000-0002-4197-9919"},"institutions":[{"id":"https://openalex.org/I4210092817","display_name":"Suzhou Institute of Biomedical Engineering and Technology","ror":"https://ror.org/00f58mx93","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210092817"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Qian","raw_affiliation_strings":["Suzhou Institute of Biomedical Engineering and Technology, Key Laboratory of Biomedical Testing Technology of CAS, Chinese Academy of Sciences, No.88 Keling Road, SND, Suzhou 215163, China","Tianjin Guokeyigong Science & Technology Development Co., Ltd., Research & Development Department, Tianjin 300300, China"],"affiliations":[{"raw_affiliation_string":"Suzhou Institute of Biomedical Engineering and Technology, Key Laboratory of Biomedical Testing Technology of CAS, Chinese Academy of Sciences, No.88 Keling Road, SND, Suzhou 215163, China","institution_ids":["https://openalex.org/I4210092817","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Tianjin Guokeyigong Science & Technology Development Co., Ltd., Research & Development Department, Tianjin 300300, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100381999","display_name":"Qiang Zhang","orcid":"https://orcid.org/0000-0003-3776-9799"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210092817","display_name":"Suzhou Institute of Biomedical Engineering and Technology","ror":"https://ror.org/00f58mx93","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210092817"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Zhang","raw_affiliation_strings":["Suzhou Institute of Biomedical Engineering and Technology, Key Laboratory of Biomedical Testing Technology of CAS, Chinese Academy of Sciences, No.88 Keling Road, SND, Suzhou 215163, China","Tianjin Guokeyigong Science & Technology Development Co., Ltd., Research & Development Department, Tianjin 300300, China"],"affiliations":[{"raw_affiliation_string":"Suzhou Institute of Biomedical Engineering and Technology, Key Laboratory of Biomedical Testing Technology of CAS, Chinese Academy of Sciences, No.88 Keling Road, SND, Suzhou 215163, China","institution_ids":["https://openalex.org/I4210092817","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Tianjin Guokeyigong Science & Technology Development Co., Ltd., Research & Development Department, Tianjin 300300, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025476230","display_name":"Jishuai Wang","orcid":"https://orcid.org/0000-0003-0160-0430"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210092817","display_name":"Suzhou Institute of Biomedical Engineering and Technology","ror":"https://ror.org/00f58mx93","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210092817"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jishuai Wang","raw_affiliation_strings":["Suzhou Institute of Biomedical Engineering and Technology, Key Laboratory of Biomedical Testing Technology of CAS, Chinese Academy of Sciences, No.88 Keling Road, SND, Suzhou 215163, China"],"affiliations":[{"raw_affiliation_string":"Suzhou Institute of Biomedical Engineering and Technology, Key Laboratory of Biomedical Testing Technology of CAS, Chinese Academy of Sciences, No.88 Keling Road, SND, Suzhou 215163, China","institution_ids":["https://openalex.org/I4210092817","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100770568","display_name":"Wenbo Cheng","orcid":"https://orcid.org/0000-0003-0774-1197"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210128284","display_name":"Institute of Optics and Electronics, Chinese Academy of Sciences","ror":"https://ror.org/02bn68w95","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128284"]},{"id":"https://openalex.org/I4210092817","display_name":"Suzhou Institute of Biomedical Engineering and Technology","ror":"https://ror.org/00f58mx93","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210092817"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbo Cheng","raw_affiliation_strings":["Department of Optics and Optical Engineering,University of Chinese Academy of Sciences, Beijing, China","State Key Lab of Optical Technologies on Nano-Fabrication and Micro-Engineering, Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 410075, China","Suzhou Institute of Biomedical Engineering and Technology, Key Laboratory of Biomedical Testing Technology of CAS, Chinese Academy of Sciences, No.88 Keling Road, SND, Suzhou 215163, China"],"affiliations":[{"raw_affiliation_string":"Department of Optics and Optical Engineering,University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"State Key Lab of Optical Technologies on Nano-Fabrication and Micro-Engineering, Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 410075, China","institution_ids":["https://openalex.org/I4210128284","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Suzhou Institute of Biomedical Engineering and Technology, Key Laboratory of Biomedical Testing Technology of CAS, Chinese Academy of Sciences, No.88 Keling Road, SND, Suzhou 215163, China","institution_ids":["https://openalex.org/I4210092817","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111476920","display_name":"Wei Yan","orcid":"https://orcid.org/0000-0001-9940-6526"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128284","display_name":"Institute of Optics and Electronics, Chinese Academy of Sciences","ror":"https://ror.org/02bn68w95","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128284"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Yan","raw_affiliation_strings":["Department of Optics and Optical Engineering,University of Chinese Academy of Sciences, Beijing, China","State Key Lab of Optical Technologies on Nano-Fabrication and Micro-Engineering, Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 410075, China"],"affiliations":[{"raw_affiliation_string":"Department of Optics and Optical Engineering,University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"State Key Lab of Optical Technologies on Nano-Fabrication and Micro-Engineering, Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 410075, China","institution_ids":["https://openalex.org/I4210128284","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100436059"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210092817"],"apc_list":{"value":2635,"currency":"GBP","value_usd":3232},"apc_paid":null,"fwci":3.8535,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.94260559,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"65","issue":"2","first_page":"177","last_page":"191"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9944999814033508,"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":0.9944999814033508,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9564999938011169,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9537000060081482,"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":0.7567694187164307},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6618607044219971},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6286336183547974},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.5987347364425659},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5565494894981384},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.5388678312301636},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.5238361954689026},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46104949712753296},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44995903968811035},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4374564290046692},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4094587564468384},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1241600513458252}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7567694187164307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6618607044219971},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6286336183547974},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.5987347364425659},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5565494894981384},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.5388678312301636},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.5238361954689026},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46104949712753296},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44995903968811035},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4374564290046692},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4094587564468384},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1241600513458252},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1093/comjnl/bxaa006","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxaa006","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W229682254","https://openalex.org/W1979263106","https://openalex.org/W2028941259","https://openalex.org/W2032892260","https://openalex.org/W2133556223","https://openalex.org/W2290145898","https://openalex.org/W2336408404","https://openalex.org/W2370924594","https://openalex.org/W2516294100","https://openalex.org/W2553002154","https://openalex.org/W2559937118","https://openalex.org/W2576787043","https://openalex.org/W2585132294","https://openalex.org/W2604836770","https://openalex.org/W2609751919","https://openalex.org/W2711661370","https://openalex.org/W2761781479","https://openalex.org/W2763350515","https://openalex.org/W2766006163","https://openalex.org/W2773381949","https://openalex.org/W2773499402","https://openalex.org/W2790718346","https://openalex.org/W2802841625","https://openalex.org/W2809249719","https://openalex.org/W2810473611","https://openalex.org/W2884397646","https://openalex.org/W2886603761","https://openalex.org/W2888215953","https://openalex.org/W2889050726","https://openalex.org/W2891166615","https://openalex.org/W2895080059","https://openalex.org/W2895084243","https://openalex.org/W2899432087","https://openalex.org/W2904995961","https://openalex.org/W2909657469","https://openalex.org/W2909960216","https://openalex.org/W2910232415","https://openalex.org/W2911635199","https://openalex.org/W2911882878","https://openalex.org/W2912475206","https://openalex.org/W2912539868","https://openalex.org/W2914626776","https://openalex.org/W2919358988","https://openalex.org/W2921038341","https://openalex.org/W2925582157","https://openalex.org/W2936977953","https://openalex.org/W2938704257","https://openalex.org/W2943491685","https://openalex.org/W2944356404","https://openalex.org/W2944954104","https://openalex.org/W2948128401","https://openalex.org/W2948458866","https://openalex.org/W2949978127","https://openalex.org/W2952142982","https://openalex.org/W2963388487","https://openalex.org/W2964317695","https://openalex.org/W6756120490","https://openalex.org/W6757178581"],"related_works":["https://openalex.org/W4312414840","https://openalex.org/W34092691","https://openalex.org/W2794908468","https://openalex.org/W2531570999","https://openalex.org/W2943467239","https://openalex.org/W1571801203","https://openalex.org/W4206276646","https://openalex.org/W101422005","https://openalex.org/W192740413","https://openalex.org/W3004135598"],"abstract_inverted_index":{"Abstract":[0],"Big":[1],"data":[2,27,52,58,126,165],"in":[3,59],"medical":[4,26,60,71,99,124,163],"diagnosis":[5,164],"can":[6],"provide":[7],"abundant":[8],"value":[9],"for":[10],"clinical":[11],"diagnosis,":[12,61],"decision":[13],"support":[14],"and":[15,34,50,66,119,136],"many":[16],"other":[17],"applications,":[18],"but":[19],"obtaining":[20],"a":[21,30,39,77],"large":[22],"number":[23],"of":[24,32,95,109,140,143],"labeled":[25,49],"will":[28],"take":[29],"lot":[31],"time":[33],"manpower.":[35],"In":[36],"this":[37,74,102],"paper,":[38],"classification":[40,110,166],"model":[41,167],"based":[42,80,112,168],"on":[43,81,113,169],"semi-supervised":[44,170],"learning":[45,149,171],"algorithm":[46,79,150,172],"using":[47],"both":[48],"unlabeled":[51,123],"is":[53],"proposed":[54,162],"to":[55,85,131,151],"process":[56],"big":[57],"which":[62,146],"includes":[63],"structured,":[64],"semi-structured":[65],"unstructured":[67],"data.":[68],"For":[69],"the":[70,87,93,122,128,133,138,141,161],"laboratory":[72],"data,":[73,101],"paper":[75,103],"proposes":[76],"self-training":[78],"repeated":[82],"labeling":[83],"strategy":[84],"solve":[86],"problem":[88],"that":[89,160],"mislabeled":[90],"samples":[91],"weaken":[92],"performance":[94,139],"classifiers.":[96,155],"Aiming":[97],"at":[98],"record":[100,125],"extracts":[104],"features":[105],"with":[106,127],"high":[107],"correlation":[108],"results":[111,158],"domain":[114],"expert":[115],"knowledge":[116],"base":[117],"first,":[118],"then":[120],"chooses":[121],"highest":[129],"confidence":[130],"expand":[132],"training":[134],"set":[135],"optimizes":[137],"classifiers":[142],"tri-training":[144],"algorithm,":[145],"uses":[147],"supervised":[148],"train":[152],"three":[153],"basic":[154],"The":[156],"experimental":[157],"show":[159],"has":[173],"good":[174],"performance.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}