{"id":"https://openalex.org/W7130359065","doi":"https://doi.org/10.1109/tencon66050.2025.11375333","title":"Integrating DWVD Dimensionality Reduction and Bio-Inspired Feature Selection for Accurate Lung Cancer Prediction","display_name":"Integrating DWVD Dimensionality Reduction and Bio-Inspired Feature Selection for Accurate Lung Cancer Prediction","publication_year":2025,"publication_date":"2025-10-27","ids":{"openalex":"https://openalex.org/W7130359065","doi":"https://doi.org/10.1109/tencon66050.2025.11375333"},"language":null,"primary_location":{"id":"doi:10.1109/tencon66050.2025.11375333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon66050.2025.11375333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2025 - 2025 IEEE Region 10 Conference (TENCON)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5105530761","display_name":"Karthika .S","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Karthika M S","raw_affiliation_strings":["School of Computer Science and Engineering, Vellore Institute of Technology,Vellore,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Vellore Institute of Technology,Vellore,India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022354867","display_name":"Harikumar Rajaguru","orcid":"https://orcid.org/0000-0002-2792-0945"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Harikumar Rajaguru","raw_affiliation_strings":["Bannari Amman Institute of Technology,Department of Electronics and Communication Engineering,Sathyamangalam,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bannari Amman Institute of Technology,Department of Electronics and Communication Engineering,Sathyamangalam,India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010894922","display_name":"Ajin R Nair","orcid":"https://orcid.org/0000-0002-0698-2338"},"institutions":[{"id":"https://openalex.org/I164861460","display_name":"Manipal Academy of Higher Education","ror":"https://ror.org/02xzytt36","country_code":"IN","type":"education","lineage":["https://openalex.org/I164861460"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ajin R Nair","raw_affiliation_strings":["Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education,Department of Electronics and Communication Engineering,Manipal,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education,Department of Electronics and Communication Engineering,Manipal,India","institution_ids":["https://openalex.org/I164861460"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.81976412,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"336","last_page":"340"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.7498999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.7498999834060669,"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"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.0272000003606081,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.020999999716877937,"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/feature-selection","display_name":"Feature selection","score":0.7199000120162964},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6294000148773193},{"id":"https://openalex.org/keywords/jaccard-index","display_name":"Jaccard index","score":0.6269000172615051},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5590000152587891},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5551999807357788},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5523999929428101},{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.4309999942779541},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.4108999967575073},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.384799987077713},{"id":"https://openalex.org/keywords/lung-cancer","display_name":"Lung cancer","score":0.37950000166893005}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7199000120162964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6754000186920166},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6294000148773193},{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.6269000172615051},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5590000152587891},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5551999807357788},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5523999929428101},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.483599990606308},{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.4309999942779541},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.4108999967575073},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.384799987077713},{"id":"https://openalex.org/C2776256026","wikidata":"https://www.wikidata.org/wiki/Q47912","display_name":"Lung cancer","level":2,"score":0.37950000166893005},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.3686000108718872},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.3614000082015991},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36010000109672546},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.3041999936103821},{"id":"https://openalex.org/C117241572","wikidata":"https://www.wikidata.org/wiki/Q5192379","display_name":"Cuckoo search","level":3,"score":0.3009999990463257},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.29670000076293945},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.2935999929904938},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2897999882698059},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.28690001368522644},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.28049999475479126},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.2784000039100647},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2732999920845032},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2728999853134155},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.26510000228881836},{"id":"https://openalex.org/C178621042","wikidata":"https://www.wikidata.org/wiki/Q7631710","display_name":"Submodular set function","level":2,"score":0.2623000144958496},{"id":"https://openalex.org/C189119545","wikidata":"https://www.wikidata.org/wiki/Q5128022","display_name":"Probabilistic classification","level":4,"score":0.2615000009536743},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.2549000084400177},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2549000084400177},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.25459998846054077},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon66050.2025.11375333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon66050.2025.11375333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2025 - 2025 IEEE Region 10 Conference (TENCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6676780581474304}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1528177290","https://openalex.org/W1971835160","https://openalex.org/W2081827754","https://openalex.org/W2102369989","https://openalex.org/W2114728879","https://openalex.org/W2139526755","https://openalex.org/W2155632266","https://openalex.org/W2190444684","https://openalex.org/W2766683862","https://openalex.org/W2945867567","https://openalex.org/W3132705981","https://openalex.org/W4200136078","https://openalex.org/W4211260867","https://openalex.org/W4230985598","https://openalex.org/W4327780529","https://openalex.org/W4391278491"],"related_works":[],"abstract_inverted_index":{"Early":[0],"and":[1,13,57,77,84,114,141,173,194],"accurate":[2,198],"detection":[3],"of":[4,31,41,94,145,159,163,167,171,175,186],"lung":[5,32,199],"cancer":[6,33,200],"is":[7,44,69,88,125],"crucial":[8],"to":[9,16],"designing":[10],"effective":[11],"treatments":[12],"contributes":[14],"strongly":[15],"increasing":[17],"survival":[18],"rates":[19],"among":[20],"patients.":[21],"The":[22,39,82],"study":[23],"uses":[24],"a":[25,92],"mixed-methods":[26],"approach":[27],"for":[28,197],"the":[29,64,73,147,149,153,184],"classification":[30],"using":[34,72,91],"microarray":[35],"gene":[36,59,203],"expression":[37,204],"data.":[38,205],"issue":[40],"highdimensional":[42],"data":[43],"handled":[45],"by":[46],"Discrete":[47],"Wigner-Ville":[48],"Distribution":[49],"(DWVD)-based":[50],"dimensionality":[51],"reduction":[52],"without":[53],"losing":[54],"important":[55],"spectral":[56],"temporal":[58],"features.":[60],"To":[61],"further":[62],"optimise":[63],"dataset,":[65],"Optimal":[66],"Feature":[67],"Selection":[68],"carried":[70],"out":[71],"Harmonic":[74],"Search":[75,79],"(HS)":[76],"Cuckoo":[78],"(CS)":[80],"algorithms.":[81],"reduced":[83],"cleaned":[85],"dataset":[86],"obtained":[87],"then":[89],"classified":[90],"variety":[93],"machine":[95],"learning":[96],"algorithms":[97],"such":[98],"as":[99],"Non-Linear":[100],"Regression":[101],"(NLR),":[102],"Softmax":[103],"Discriminant":[104],"Classifier":[105],"(SDC),":[106],"Gaussian":[107],"Mixture":[108],"Model":[109],"(GMM),":[110],"Random":[111],"Forest":[112],"(RF),":[113],"Support":[115],"Vector":[116],"Machine":[117],"with":[118,128,157],"Radial":[119],"Basis":[120],"Function":[121],"kernel":[122],"(SVM-RBF).":[123],"Performance":[124],"strictly":[126],"analyzed":[127],"different":[129],"metrics":[130],"including":[131],"accuracy,":[132],"F1":[133,161],"Score,":[134],"Jaccard":[135,165],"Index,":[136],"Matthews":[137],"Correlation":[138],"Coefficient":[139],"(MCC),":[140],"Cohen's":[142],"Kappa.":[143],"Out":[144],"all":[146],"classifiers,":[148],"SVMRBF":[150],"model":[151],"produced":[152],"highest":[154],"potential":[155],"results":[156,182],"accuracy":[158],"98.34%,":[160],"Score":[162],"98.99%,":[164],"Index":[166],"98.01":[168],"%,":[169],"MCC":[170],"0.9425,":[172],"Kappa":[174],"0.9423":[176],"after":[177],"HS-based":[178],"feature":[179],"selection.":[180],"These":[181],"demonstrate":[183],"power":[185],"integrating":[187],"novel":[188],"signa":[189],"1":[190],"processing,":[191],"bio-inspired":[192],"optimization,":[193],"strong":[195],"classifiers":[196],"prediction":[201],"from":[202]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-02-19T00:00:00"}