{"id":"https://openalex.org/W4406495700","doi":"https://doi.org/10.1109/access.2025.3530468","title":"RLSTSVM: A Robust Prediction Method for Pancreatic Postoperative Complications","display_name":"RLSTSVM: A Robust Prediction Method for Pancreatic Postoperative Complications","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406495700","doi":"https://doi.org/10.1109/access.2025.3530468"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3530468","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3530468","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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://doi.org/10.1109/access.2025.3530468","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086967620","display_name":"He Yan","orcid":"https://orcid.org/0000-0002-6135-3809"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"He Yan","raw_affiliation_strings":["College of Information Science and Technology and Artificial Intelligence, Nanjing Forestry University, Nanjing, China","College of Information Science and Technology &#x0026; Artificial Intelligence, Nanjing Forestry University, Nanjing, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology and Artificial Intelligence, Nanjing Forestry University, Nanjing, China","institution_ids":["https://openalex.org/I167027274"]},{"raw_affiliation_string":"College of Information Science and Technology &#x0026; Artificial Intelligence, Nanjing Forestry University, Nanjing, P. R. China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100956715","display_name":"Xiang Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114190","display_name":"Shanghai Zhangjiang Laboratory","ror":"https://ror.org/0208qbg77","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Zhu","raw_affiliation_strings":["Shanghai Zhangjiang New Research Academy of Life and Health, Shanghai, China","Shanghai Zhangjiang New Research Academy of Life and Health, Kangqiao East Road 111, Shanghai, P. R. China"],"affiliations":[{"raw_affiliation_string":"Shanghai Zhangjiang New Research Academy of Life and Health, Shanghai, China","institution_ids":["https://openalex.org/I4210114190"]},{"raw_affiliation_string":"Shanghai Zhangjiang New Research Academy of Life and Health, Kangqiao East Road 111, Shanghai, P. R. China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047530483","display_name":"Yan Liu","orcid":"https://orcid.org/0000-0002-5331-3655"},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Liu","raw_affiliation_strings":["Department of Computer Science, Yangzhou University, Yangzhou, China","Department of Computer Science, Yangzhou University, Yangzhou, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yangzhou University, Yangzhou, China","institution_ids":["https://openalex.org/I78978612"]},{"raw_affiliation_string":"Department of Computer Science, Yangzhou University, Yangzhou, P. R. China","institution_ids":["https://openalex.org/I78978612"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057638577","display_name":"Jing Qiu","orcid":"https://orcid.org/0000-0003-4202-7802"},"institutions":[{"id":"https://openalex.org/I177933477","display_name":"Second Military Medical University","ror":"https://ror.org/04tavpn47","country_code":"CN","type":"education","lineage":["https://openalex.org/I177933477"]},{"id":"https://openalex.org/I4210115928","display_name":"Changhai Hospital","ror":"https://ror.org/02bjs0p66","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210115928"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Qiu","raw_affiliation_strings":["Department of Information, The First Affiliated Hospital of Naval Medical University, Shanghai, China","Information Department, The First Affiliated Hospital of Naval Medical University, Changhai Road 168,, Shanghai, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Information, The First Affiliated Hospital of Naval Medical University, Shanghai, China","institution_ids":["https://openalex.org/I4210115928","https://openalex.org/I177933477"]},{"raw_affiliation_string":"Information Department, The First Affiliated Hospital of Naval Medical University, Changhai Road 168,, Shanghai, P. R. China","institution_ids":["https://openalex.org/I4210115928","https://openalex.org/I177933477"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025167129","display_name":"Xiaohua Hu","orcid":"https://orcid.org/0000-0002-7735-5091"},"institutions":[{"id":"https://openalex.org/I177933477","display_name":"Second Military Medical University","ror":"https://ror.org/04tavpn47","country_code":"CN","type":"education","lineage":["https://openalex.org/I177933477"]},{"id":"https://openalex.org/I4210115928","display_name":"Changhai Hospital","ror":"https://ror.org/02bjs0p66","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210115928"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohua Hu","raw_affiliation_strings":["Department of Information, The First Affiliated Hospital of Naval Medical University, Shanghai, China","Information Department, The First Affiliated Hospital of Naval Medical University, Changhai Road 168,, Shanghai, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Information, The First Affiliated Hospital of Naval Medical University, Shanghai, China","institution_ids":["https://openalex.org/I4210115928","https://openalex.org/I177933477"]},{"raw_affiliation_string":"Information Department, The First Affiliated Hospital of Naval Medical University, Changhai Road 168,, Shanghai, P. R. China","institution_ids":["https://openalex.org/I4210115928","https://openalex.org/I177933477"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5086967620"],"corresponding_institution_ids":["https://openalex.org/I167027274"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01549667,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"44123","last_page":"44134"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10231","display_name":"Pancreatic and Hepatic Oncology Research","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10231","display_name":"Pancreatic and Hepatic Oncology Research","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9175999760627747,"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":0.9153000116348267,"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":0.6328591108322144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3739238381385803}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6328591108322144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3739238381385803}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3530468","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3530468","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9361eca8eef1404f9bf7d708d71d6d3e","is_oa":true,"landing_page_url":"https://doaj.org/article/9361eca8eef1404f9bf7d708d71d6d3e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 44123-44134 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3530468","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3530468","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.5,"id":"https://metadata.un.org/sdg/2"}],"awards":[{"id":"https://openalex.org/G1351919236","display_name":null,"funder_award_id":"62306142","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1968656204","https://openalex.org/W2019184604","https://openalex.org/W2100128988","https://openalex.org/W2170860445","https://openalex.org/W2742415644","https://openalex.org/W2757101026","https://openalex.org/W2759054184","https://openalex.org/W2892592994","https://openalex.org/W2897346547","https://openalex.org/W2901312699","https://openalex.org/W2966316153","https://openalex.org/W3029337180","https://openalex.org/W3082762715","https://openalex.org/W3119915101","https://openalex.org/W3165219660","https://openalex.org/W3175968323","https://openalex.org/W3199715002","https://openalex.org/W3200110661","https://openalex.org/W3209171793","https://openalex.org/W3211527358","https://openalex.org/W3214430999","https://openalex.org/W4200108795","https://openalex.org/W4200254858","https://openalex.org/W4214616139","https://openalex.org/W4220973505","https://openalex.org/W4221121239","https://openalex.org/W4280598837","https://openalex.org/W4286268364","https://openalex.org/W4293483498","https://openalex.org/W4318562300","https://openalex.org/W4362475747","https://openalex.org/W4381598792","https://openalex.org/W4386836692","https://openalex.org/W4386945278","https://openalex.org/W4391027107","https://openalex.org/W4393157024","https://openalex.org/W6637978785","https://openalex.org/W6847073052"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Predicting":[0],"pancreatic":[1,62,154],"postoperative":[2,63,155,185],"complications":[3,186],"accurately":[4],"is":[5,147],"critical":[6],"for":[7,40,136,194],"assisting":[8],"clinicians":[9],"in":[10,119],"performing":[11],"risk":[12],"assessments":[13],"and":[14,18,27,33,59,91,96,168,172,187,198],"tailoring":[15],"personalized":[16],"treatment":[17],"care":[19],"plans.":[20],"However,":[21],"existing":[22],"methods":[23],"struggle":[24],"with":[25,77,109],"noisy":[26,97],"incomplete":[28],"data":[29],"from":[30],"measurement":[31],"errors":[32],"patient-specific":[34],"variability,":[35],"highlighting":[36],"the":[37,47,69,110,127,160,164,179,201],"urgent":[38],"need":[39],"improved":[41],"predictive":[42,53],"approaches.":[43],"This":[44,122],"study":[45],"alleviates":[46],"problem":[48],"by":[49],"introducing":[50],"a":[51,191],"novel":[52],"approach":[54],"to":[55,83,86,106,183,200],"improve":[56,87],"our":[57,145],"understanding":[58],"management":[60],"of":[61,129,144,163,166,181,203],"complications.":[64],"The":[65,142],"research":[66],"centers":[67],"on":[68,152,170],"least":[70],"squares":[71],"twin":[72],"support":[73],"vector":[74],"machine,":[75],"enhanced":[76],"an":[78,102],"L1-norm":[79],"distance":[80],"mechanism,":[81],"referred":[82],"as":[84],"RLSTSVM,":[85],"its":[88],"prediction":[89,161],"accuracy":[90,162],"robustness":[92],"across":[93],"both":[94],"normal":[95,171],"datasets.":[98],"Further,":[99],"we":[100],"developed":[101],"iterative":[103],"optimization":[104,140],"framework":[105,123],"effectively":[107],"deal":[108],"nonconvex":[111],"<inline-formula":[112],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[113],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[114],"<tex-math":[115],"notation=\"LaTeX\">$L_{1}$":[116],"</tex-math></inline-formula>-norm":[117],"term":[118],"objective":[120],"functions.":[121],"not":[124],"only":[125],"enhances":[126],"performance":[128],"models":[130],"but":[131],"also":[132],"demonstrates":[133],"significant":[134],"potential":[135,180],"addressing":[137],"other":[138],"related":[139],"problems.":[141],"effectiveness":[143],"RLSTSVM":[146,158,182],"validated":[148],"through":[149],"experiments":[150],"conducted":[151],"real-world":[153],"data.":[156],"Our":[157],"improves":[159],"baseline":[165],"0.65":[167],"3.98":[169],"contaminated":[173],"data,":[174],"respectively.":[175],"These":[176],"findings":[177],"highlight":[178],"reduce":[184],"mortality":[188],"rates,":[189],"providing":[190],"valuable":[192],"tool":[193],"healthcare":[195],"system":[196],"improvement":[197],"contributing":[199],"development":[202],"evidence-based":[204],"public":[205],"health":[206],"policies.":[207]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}