{"id":"https://openalex.org/W4379387759","doi":"https://doi.org/10.1080/21681163.2023.2219772","title":"Cancer prognosis with machine learning-based modified meta-heuristics and weighted gradient boosting algorithm","display_name":"Cancer prognosis with machine learning-based modified meta-heuristics and weighted gradient boosting algorithm","publication_year":2023,"publication_date":"2023-06-05","ids":{"openalex":"https://openalex.org/W4379387759","doi":"https://doi.org/10.1080/21681163.2023.2219772"},"language":"en","primary_location":{"id":"doi:10.1080/21681163.2023.2219772","is_oa":false,"landing_page_url":"https://doi.org/10.1080/21681163.2023.2219772","pdf_url":null,"source":{"id":"https://openalex.org/S2764763012","display_name":"Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization","issn_l":"2168-1163","issn":["2168-1163","2168-1171"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5101928213","display_name":"P. Saranya","orcid":null},"institutions":[{"id":"https://openalex.org/I43814544","display_name":"Sathyabama Institute of Science and Technology","ror":"https://ror.org/01defpn95","country_code":"IN","type":"education","lineage":["https://openalex.org/I43814544"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"P. Saranya","raw_affiliation_strings":["Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, India","institution_ids":["https://openalex.org/I43814544"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051628070","display_name":"P. Asha","orcid":null},"institutions":[{"id":"https://openalex.org/I43814544","display_name":"Sathyabama Institute of Science and Technology","ror":"https://ror.org/01defpn95","country_code":"IN","type":"education","lineage":["https://openalex.org/I43814544"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. Asha","raw_affiliation_strings":["Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, India","institution_ids":["https://openalex.org/I43814544"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101928213"],"corresponding_institution_ids":["https://openalex.org/I43814544"],"apc_list":null,"apc_paid":null,"fwci":1.222,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82833331,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"11","issue":"6","first_page":"2209","last_page":"2225"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9993000030517578,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9842000007629395,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9828000068664551,"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/breast-cancer","display_name":"Breast cancer","score":0.7069721817970276},{"id":"https://openalex.org/keywords/cervical-cancer","display_name":"Cervical cancer","score":0.6490647792816162},{"id":"https://openalex.org/keywords/lung-cancer","display_name":"Lung cancer","score":0.5685327649116516},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.557058572769165},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5524090528488159},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5490905046463013},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5269582867622375},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5086263418197632},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.4987521171569824},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.46822071075439453},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.43432775139808655},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.42989957332611084},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3204413652420044},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.23329070210456848},{"id":"https://openalex.org/keywords/oncology","display_name":"Oncology","score":0.13425153493881226}],"concepts":[{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.7069721817970276},{"id":"https://openalex.org/C2778220009","wikidata":"https://www.wikidata.org/wiki/Q160105","display_name":"Cervical cancer","level":3,"score":0.6490647792816162},{"id":"https://openalex.org/C2776256026","wikidata":"https://www.wikidata.org/wiki/Q47912","display_name":"Lung cancer","level":2,"score":0.5685327649116516},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.557058572769165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5524090528488159},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5490905046463013},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5269582867622375},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5086263418197632},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4987521171569824},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.46822071075439453},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.43432775139808655},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.42989957332611084},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3204413652420044},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.23329070210456848},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.13425153493881226},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/21681163.2023.2219772","is_oa":false,"landing_page_url":"https://doi.org/10.1080/21681163.2023.2219772","pdf_url":null,"source":{"id":"https://openalex.org/S2764763012","display_name":"Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization","issn_l":"2168-1163","issn":["2168-1163","2168-1171"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6700000166893005,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W2775577467","https://openalex.org/W2802703689","https://openalex.org/W2894726598","https://openalex.org/W2894754687","https://openalex.org/W2895493709","https://openalex.org/W2900125203","https://openalex.org/W2902172882","https://openalex.org/W2920255227","https://openalex.org/W2923175165","https://openalex.org/W2945523435","https://openalex.org/W2955283786","https://openalex.org/W2982822400","https://openalex.org/W2999732666","https://openalex.org/W3000322995","https://openalex.org/W3022907945","https://openalex.org/W3045917387","https://openalex.org/W3047087378","https://openalex.org/W3081550521","https://openalex.org/W3094910079","https://openalex.org/W3106848256","https://openalex.org/W3125994571","https://openalex.org/W3142620583","https://openalex.org/W3144747894","https://openalex.org/W3147142721","https://openalex.org/W3158505476","https://openalex.org/W3160198125","https://openalex.org/W3164185089","https://openalex.org/W3165223959","https://openalex.org/W3172274020","https://openalex.org/W3181025656","https://openalex.org/W3193211895","https://openalex.org/W3193238958","https://openalex.org/W3200193684","https://openalex.org/W3208395273","https://openalex.org/W3208642945","https://openalex.org/W3212634131","https://openalex.org/W4206419394","https://openalex.org/W4223511318","https://openalex.org/W4282932342","https://openalex.org/W4294989951"],"related_works":["https://openalex.org/W2353567328","https://openalex.org/W2146076056","https://openalex.org/W2380927352","https://openalex.org/W2339674921","https://openalex.org/W4225307033","https://openalex.org/W2111662190","https://openalex.org/W2022684485","https://openalex.org/W2314710578","https://openalex.org/W2126920443","https://openalex.org/W3016925281"],"abstract_inverted_index":{"Cancer":[0],"is":[1,6,138,166],"typically":[2],"a":[3],"disease":[4],"that":[5,88,142,168],"instigated":[7],"when":[8],"cells":[9],"partition":[10],"uncontrollably,":[11],"thereby":[12],"spread":[13],"to":[14,30,44,64,79,126],"surrounding":[15],"tissues.":[16],"Among":[17],"different":[18],"kinds":[19,38],"of":[20,39,51,153],"cancer,":[21,23,159,164],"breast":[22,102,158,177],"cervical":[24,109,160,184],"and":[25,108,116,129,162,187],"lung":[26,105,163,192],"cancer":[27,40,69,103,106,110,161,178,185,193],"have":[28,62,77],"found":[29],"experience":[31],"less":[32],"screening":[33],"rate.":[34,93],"Hence,":[35],"detecting":[36],"such":[37,96],"has":[41,85],"become":[42],"crucial":[43],"save":[45],"individual\u2019s":[46],"life.":[47],"With":[48],"the":[49,91,98,151],"ability":[50],"ML":[52,114],"(Machine":[53],"Learning)":[54],"for":[55,140,176,183,191],"solving":[56],"complicated":[57],"tasks":[58],"in":[59,67,156],"dynamic":[60],"configurations":[61],"contributed":[63],"its":[65,170],"application":[66],"prognosticating":[68,157],"with":[70,172],"diverse":[71],"meta-heuristic":[72],"algorithms.":[73],"Though":[74],"conventional":[75],"researches":[76],"attempted":[78],"perform":[80],"this,":[81,133],"feature":[82],"selection":[83],"process":[84],"been":[86],"inefficient":[87],"negatively":[89],"impacted":[90],"accuracy":[92,175,182,190],"To":[94,149],"resolve":[95],"consequences,":[97],"study":[99],"considers":[100],"Wisconsin":[101],"dataset,":[104,179],"dataset":[107,111,186],"from":[112],"UCI":[113],"repository":[115],"proposes":[117],"Modified":[118],"QPSO-LDA":[119],"(Quantum":[120],"Particle":[121],"Swarm":[122],"Optimization-Linear":[123],"Discriminant":[124],"Analysis)":[125],"select":[127],"suitable":[128],"relevant":[130],"features.":[131],"Following":[132],"WGB":[134],"(Weighted":[135],"Gradient":[136],"Boosting)":[137],"proposed":[139],"classification":[141],"works":[143],"based":[144],"on":[145],"weighted":[146],"column":[147],"subsampling.":[148],"validate":[150],"performance":[152],"this":[154],"system":[155],"analysis":[165],"undertaken":[167],"confirm":[169],"effectiveness":[171],"0.9912":[173],"as":[174,181,189],"0.99":[180],"0.97":[188],"dataset.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}