{"id":"https://openalex.org/W2782842994","doi":"https://doi.org/10.1109/icsai.2017.8248514","title":"Pancreatic cancer biomarker detection using recursive feature elimination based on Support Vector Machine and large margin distribution machine","display_name":"Pancreatic cancer biomarker detection using recursive feature elimination based on Support Vector Machine and large margin distribution machine","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2782842994","doi":"https://doi.org/10.1109/icsai.2017.8248514","mag":"2782842994"},"language":"en","primary_location":{"id":"doi:10.1109/icsai.2017.8248514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2017.8248514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 4th International Conference on Systems and Informatics (ICSAI)","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/A5082250565","display_name":"Yidan Lv","orcid":"https://orcid.org/0009-0009-6671-1300"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yidan Lv","raw_affiliation_strings":["Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100322762","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0002-6728-8825"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Wang","raw_affiliation_strings":["Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066497348","display_name":"Yongfei Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongfei Tan","raw_affiliation_strings":["Basic Medicine School, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Basic Medicine School, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059747977","display_name":"Wei Du","orcid":"https://orcid.org/0000-0001-9872-4821"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Du","raw_affiliation_strings":["Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101690383","display_name":"Keke Liu","orcid":"https://orcid.org/0000-0003-3969-8808"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keke Liu","raw_affiliation_strings":["Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100704212","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0002-4109-4694"},"institutions":[{"id":"https://openalex.org/I156144747","display_name":"Harbin Medical University","ror":"https://ror.org/05jscf583","country_code":"CN","type":"education","lineage":["https://openalex.org/I156144747"]},{"id":"https://openalex.org/I4210132813","display_name":"Second Affiliated Hospital of Harbin Medical University","ror":"https://ror.org/03s8txj32","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210132813"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["Department of Hepatopancreatobiliary Surgery and Second Affiliated Hospital, Harbin Medical University Harbin, China"],"affiliations":[{"raw_affiliation_string":"Department of Hepatopancreatobiliary Surgery and Second Affiliated Hospital, Harbin Medical University Harbin, China","institution_ids":["https://openalex.org/I156144747","https://openalex.org/I4210132813"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5082250565"],"corresponding_institution_ids":["https://openalex.org/I194450716"],"apc_list":null,"apc_paid":null,"fwci":0.4597,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.67327099,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1450","last_page":"1455"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10231","display_name":"Pancreatic and Hepatic Oncology Research","score":0.9984999895095825,"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":0.9984999895095825,"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/T10862","display_name":"AI in cancer detection","score":0.9909999966621399,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7946137189865112},{"id":"https://openalex.org/keywords/pancreatic-cancer","display_name":"Pancreatic cancer","score":0.7224012017250061},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6668930649757385},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5585633516311646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.522908627986908},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5055937767028809},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5008735656738281},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.4152635335922241},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4137878119945526},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36482328176498413},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20466697216033936},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.15715771913528442}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7946137189865112},{"id":"https://openalex.org/C2780210213","wikidata":"https://www.wikidata.org/wiki/Q212961","display_name":"Pancreatic cancer","level":3,"score":0.7224012017250061},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6668930649757385},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5585633516311646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.522908627986908},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5055937767028809},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5008735656738281},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.4152635335922241},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4137878119945526},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36482328176498413},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20466697216033936},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.15715771913528442},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsai.2017.8248514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2017.8248514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 4th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1703245085","https://openalex.org/W2004320486","https://openalex.org/W2017776670","https://openalex.org/W2045424838","https://openalex.org/W2048867608","https://openalex.org/W2059649193","https://openalex.org/W2090091537","https://openalex.org/W2092349886","https://openalex.org/W2100383651","https://openalex.org/W2122866775","https://openalex.org/W2127793931","https://openalex.org/W2127905772","https://openalex.org/W2138155367","https://openalex.org/W2153601733","https://openalex.org/W2155236584","https://openalex.org/W2156909104","https://openalex.org/W2197805617","https://openalex.org/W2293600471","https://openalex.org/W2516938563","https://openalex.org/W2604772753","https://openalex.org/W2915512755","https://openalex.org/W3134530972","https://openalex.org/W4206686222","https://openalex.org/W4244578979","https://openalex.org/W6687991098"],"related_works":["https://openalex.org/W3125011624","https://openalex.org/W1508631387","https://openalex.org/W2370917603","https://openalex.org/W2952760143","https://openalex.org/W2017776670","https://openalex.org/W2347897961","https://openalex.org/W2340870721","https://openalex.org/W2358318464","https://openalex.org/W2090763504","https://openalex.org/W2379140333"],"abstract_inverted_index":{"Pancreatic":[0],"cancer":[1,62,153],"acts":[2],"as":[3,149],"one":[4],"of":[5,9,32,69,113,131,144,160],"the":[6,27,33,66,111,161,171,182,190,205],"leading":[7],"causes":[8,35],"cancer-connective":[10],"deaths.":[11],"Its":[12],"five-year":[13],"overall":[14],"survival":[15],"rate":[16],"being":[17],"reported":[18],"is":[19,40,63],"about":[20],"7.7%":[21],"from":[22,125],"2006":[23],"to":[24,65,98,115],"2012":[25],"by":[26,180,195],"National":[28],"Cancer":[29],"Institute.":[30],"One":[31],"main":[34],"for":[36,54,102],"its":[37,42],"poor":[38],"prognosis":[39],"because":[41],"non-typical":[43],"symptoms":[44],"make":[45],"early":[46,55],"diagnosis":[47],"very":[48],"challenging.":[49],"Therefore,":[50],"a":[51,77,142],"predominant":[52],"strategy":[53],"accurate":[56],"detection":[57],"and":[58,92,135,170,185,202,204],"prognostication":[59],"on":[60,87,166],"pancreatic":[61,103,132,138,152],"vital":[64],"whole":[67],"course":[68],"comprehensive":[70],"therapy.":[71],"In":[72,105,178],"this":[73],"research,":[74],"we":[75,108,122,188],"proposed":[76,197,209],"method":[78,85,198,210],"which":[79],"combined":[80],"Recursive":[81],"Feature":[82],"Elimination":[83],"(RFE)":[84],"based":[86],"Support":[88],"Vector":[89],"Machine":[90,96],"(SVM)":[91],"Large":[93],"Margin":[94],"Distribution":[95],"(LDM)":[97],"identify":[99],"potential":[100],"biomarkers":[101,150],"cancer.":[104],"our":[106,196,208],"experiments,":[107,141],"have":[109],"strengthened":[110],"process":[112],"RFE":[114],"achieve":[116],"better":[117],"performance.":[118],"The":[119,158],"dataset":[120,168],"GSE15471":[121],"adopted":[123],"are":[124],"GEO":[126],"database":[127],"with":[128,154,199],"39":[129],"pairs":[130],"ductal":[133],"carcinoma":[134],"adjacent":[136],"control":[137],"tissues.":[139],"Through":[140],"panel":[143],"twelve":[145],"genes":[146,163],"was":[147,164,174],"identified":[148],"in":[151],"91.28%":[155],"classification":[156,172,214],"accuracy.":[157,215],"universality":[159],"candidate":[162],"examined":[165],"another":[167],"GSE28735":[169],"accuracy":[173],"higher":[175,212],"than":[176],"80%.":[177],"addition,":[179],"using":[181],"SVM,":[183],"LDM":[184],"BP":[186],"classifiers,":[187],"compared":[189],"ordered":[191],"feature":[192],"sets":[193],"generated":[194],"T-test,":[200],"SVM-RFE":[201],"LDM-RFE,":[203],"results":[206],"indicated":[207],"obtained":[211],"average":[213]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
