{"id":"https://openalex.org/W3045245136","doi":"https://doi.org/10.1109/tii.2020.3011675","title":"D-TSVR Recurrence Prediction Driven by Medical Big Data in Cancer","display_name":"D-TSVR Recurrence Prediction Driven by Medical Big Data in Cancer","publication_year":2020,"publication_date":"2020-07-24","ids":{"openalex":"https://openalex.org/W3045245136","doi":"https://doi.org/10.1109/tii.2020.3011675","mag":"3045245136"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2020.3011675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2020.3011675","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Industrial Informatics","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/A5048852821","display_name":"Aimin Yang","orcid":"https://orcid.org/0000-0003-0463-9023"},"institutions":[{"id":"https://openalex.org/I137506752","display_name":"North China University of Science and Technology","ror":"https://ror.org/04z4wmb81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137506752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ai-Min Yang","raw_affiliation_strings":["College of Science, North China University of Science and Technology, Tangshan, China"],"raw_orcid":"https://orcid.org/0000-0003-0463-9023","affiliations":[{"raw_affiliation_string":"College of Science, North China University of Science and Technology, Tangshan, China","institution_ids":["https://openalex.org/I137506752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024873536","display_name":"Yang Han","orcid":"https://orcid.org/0000-0002-3501-1610"},"institutions":[{"id":"https://openalex.org/I137506752","display_name":"North China University of Science and Technology","ror":"https://ror.org/04z4wmb81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137506752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Han","raw_affiliation_strings":["College of Metallurgy and Energy, North China University of Science and Technology, Tangshan, China"],"raw_orcid":"https://orcid.org/0000-0002-3501-1610","affiliations":[{"raw_affiliation_string":"College of Metallurgy and Energy, North China University of Science and Technology, Tangshan, China","institution_ids":["https://openalex.org/I137506752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012773790","display_name":"Chenshuai Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I137506752","display_name":"North China University of Science and Technology","ror":"https://ror.org/04z4wmb81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137506752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen-Shuai Liu","raw_affiliation_strings":["College of Science, North China University of Science and Technology, Tangshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science, North China University of Science and Technology, Tangshan, China","institution_ids":["https://openalex.org/I137506752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013242139","display_name":"Jianhui Wu","orcid":"https://orcid.org/0000-0002-8440-1404"},"institutions":[{"id":"https://openalex.org/I137506752","display_name":"North China University of Science and Technology","ror":"https://ror.org/04z4wmb81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137506752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian-Hui Wu","raw_affiliation_strings":["School of Public Health, North China University of Science and Technology, Tangshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Public Health, North China University of Science and Technology, Tangshan, China","institution_ids":["https://openalex.org/I137506752"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045731596","display_name":"Dianbo Hua","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dian-Bo Hua","raw_affiliation_strings":["Beijing Street Laboratory, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Street Laboratory, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2045,"currency":"USD","value_usd":2045},"apc_paid":null,"fwci":2.4241,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.9132906,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"17","issue":"5","first_page":"3508","last_page":"3517"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.991100013256073,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.991100013256073,"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/T10862","display_name":"AI in cancer detection","score":0.9905999898910522,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9653000235557556,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.6689750552177429},{"id":"https://openalex.org/keywords/cancer-recurrence","display_name":"Cancer recurrence","score":0.606063187122345},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.5224215388298035},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4689193367958069},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.46015432476997375},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4451286196708679},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43224990367889404},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.42166486382484436},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3259587287902832},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.1379064917564392}],"concepts":[{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.6689750552177429},{"id":"https://openalex.org/C2991678472","wikidata":"https://www.wikidata.org/wiki/Q108872574","display_name":"Cancer recurrence","level":3,"score":0.606063187122345},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.5224215388298035},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4689193367958069},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.46015432476997375},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4451286196708679},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43224990367889404},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.42166486382484436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3259587287902832},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.1379064917564392},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2020.3011675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2020.3011675","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3214512044","display_name":"\u57fa\u4e8e\u5206\u5f62\u7406\u8bba\u7684\u9541\u8d28\u7194\u5242\u6027\u7403\u56e2\u77ff\u76f8\u8c03\u63a7\u673a\u7406\u7814\u7a76","funder_award_id":"51674121","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1973560868","https://openalex.org/W2002566754","https://openalex.org/W2017247229","https://openalex.org/W2321097672","https://openalex.org/W2591503963","https://openalex.org/W2594770219","https://openalex.org/W2769787843","https://openalex.org/W2774943910","https://openalex.org/W2781558831","https://openalex.org/W2791774051","https://openalex.org/W2796497448","https://openalex.org/W2887212924","https://openalex.org/W2888646712","https://openalex.org/W2903722520","https://openalex.org/W2907774552","https://openalex.org/W2908336206","https://openalex.org/W2910761179","https://openalex.org/W2936667683","https://openalex.org/W2943251214","https://openalex.org/W2946116594","https://openalex.org/W2950977941","https://openalex.org/W2954856139","https://openalex.org/W2963425992","https://openalex.org/W3010567022"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2028581763","https://openalex.org/W2277311979","https://openalex.org/W2914659628","https://openalex.org/W2466186584","https://openalex.org/W2408077559","https://openalex.org/W4245983612","https://openalex.org/W1519094723"],"abstract_inverted_index":{"Secondary":[0],"use":[1,129],"of":[2,26,39,52,60,64,119,138,166,183],"medical":[3,18],"big":[4],"data":[5],"is":[6,22,49,101,106,123,126,154,178],"becoming":[7],"increasingly":[8],"popular":[9],"in":[10,16],"healthcare":[11],"services":[12],"and":[13,36,81,116,187],"clinical":[14,45],"research":[15],"the":[17,34,50,103,117,120,130,135,142,150,167],"industry.":[19],"Cancer":[20],"recurrence":[21,41,160],"a":[23,58,158],"common":[24],"phenomenon":[25],"cancer":[27,40,53,66,159],"patients":[28],"after":[29],"treatment":[30],"(recovery":[31],"period).":[32],"Studying":[33],"time":[35],"influencing":[37],"factors":[38],"can":[42,172],"provide":[43],"effective":[44],"intervention":[46],"means,":[47],"which":[48,177],"gospel":[51],"patients.":[54],"In":[55,147],"this":[56,148],"article,":[57,149],"sample":[59],"50":[61],"000":[62],"cases":[63],"seven":[65],"patients,":[67],"including":[68],"liver":[69],"cancer,":[70,72,74,76,78,80,83],"lung":[71],"kidney":[73],"breast":[75],"uterine":[77],"stomach":[79],"bowel":[82],"was":[84],"collected.":[85],"A":[86],"twin":[87],"support":[88],"regression":[89],"vector":[90],"machine":[91],"(TSVR)":[92],"algorithm":[93,110,132,153],"based":[94],"on":[95],"dependent":[96],"nearest":[97],"neighbor":[98],"(DNN)":[99],"weighting":[100],"proposed,":[102],"eplion-TSVR":[104],"model":[105,122,168],"improved":[107,121,151],"by":[108],"DNN-weighted":[109],"with":[111],"local":[112],"information":[113],"mining":[114],"function,":[115],"solution":[118],"derived.":[124],"It":[125],"proposed":[127],"to":[128,133,140,156],"cuckoo":[131],"determine":[134,141],"optimal":[136,143],"parameters":[137],"DNN":[139],"dependency":[144],"region":[145],"domain.":[146],"TSVR":[152],"used":[155],"establish":[157],"prediction":[161,164],"model.":[162],"The":[163],"accuracy":[165],"for":[169],"various":[170],"cancers":[171],"reach":[173],"more":[174],"than":[175,181],"91%,":[176],"significantly":[179],"higher":[180],"that":[182],"convolutional":[184],"neural":[185],"network":[186],"e-TSVR":[188],"models.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
