{"id":"https://openalex.org/W4388489142","doi":"https://doi.org/10.11591/ijeecs.v32.i3.pp1655-1663","title":"A novel machine learning based hybrid approach for breast cancer relapse prediction","display_name":"A novel machine learning based hybrid approach for breast cancer relapse prediction","publication_year":2023,"publication_date":"2023-11-08","ids":{"openalex":"https://openalex.org/W4388489142","doi":"https://doi.org/10.11591/ijeecs.v32.i3.pp1655-1663"},"language":"en","primary_location":{"id":"doi:10.11591/ijeecs.v32.i3.pp1655-1663","doi":"https://doi.org/10.11591/ijeecs.v32.i3.pp1655-1663","is_oa":true,"landing_page_url":"https://doi.org/10.11591/ijeecs.v32.i3.pp1655-1663","pdf_url":"https://ijeecs.iaescore.com/index.php/IJEECS/article/download/33958/17809","source":{"id":"https://openalex.org/S2764855249","display_name":"Indonesian Journal of Electrical Engineering and Computer Science","issn_l":"2502-4752","issn":["2502-4752","2502-4760"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Indonesian Journal of Electrical Engineering and Computer Science","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ijeecs.iaescore.com/index.php/IJEECS/article/download/33958/17809","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060615642","display_name":"Ghanashyam Sahoo","orcid":"https://orcid.org/0000-0002-2094-7977","observed_orcids":["https://orcid.org/0000-0002-2094-7977"]},"institutions":[{"id":"https://openalex.org/I193073490","display_name":"Siksha O Anusandhan University","ror":"https://ror.org/056ep7w45","country_code":"IN","type":"education","lineage":["https://openalex.org/I193073490"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ghanashyam Sahoo","raw_affiliation_strings":["Siksha \u2018O\u2019 Anusandhan (Deemed to be University)"],"raw_orcid":"https://orcid.org/0000-0002-2094-7977","affiliations":[{"raw_affiliation_string":"Siksha \u2018O\u2019 Anusandhan (Deemed to be University)","institution_ids":["https://openalex.org/I193073490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087993772","display_name":"Ajit Kumar Nayak","orcid":"https://orcid.org/0000-0003-2302-9458","observed_orcids":["https://orcid.org/0000-0003-2302-9458"]},"institutions":[{"id":"https://openalex.org/I193073490","display_name":"Siksha O Anusandhan University","ror":"https://ror.org/056ep7w45","country_code":"IN","type":"education","lineage":["https://openalex.org/I193073490"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ajit Kumar Nayak","raw_affiliation_strings":["Siksha \u2018O\u2019 Anusandhan (Deemed to be University)"],"raw_orcid":"https://orcid.org/0000-0003-2302-9458","affiliations":[{"raw_affiliation_string":"Siksha \u2018O\u2019 Anusandhan (Deemed to be University)","institution_ids":["https://openalex.org/I193073490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088510922","display_name":"Pradyumna Kumar Tripathy","orcid":"https://orcid.org/0000-0002-9788-1013","observed_orcids":["https://orcid.org/0000-0002-9788-1013"]},"institutions":[{"id":"https://openalex.org/I4405277781","display_name":"Stradford International College","ror":"https://ror.org/03w9kkj89","country_code":"MY","type":"education","lineage":["https://openalex.org/I4405277781"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Pradyumna Kumar Tripathy","raw_affiliation_strings":["Silicon Institute of Technology"],"raw_orcid":"https://orcid.org/0000-0002-9788-1013","affiliations":[{"raw_affiliation_string":"Silicon Institute of Technology","institution_ids":["https://openalex.org/I4405277781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037182218","display_name":"Jyotsnarani Tripathy","orcid":"https://orcid.org/0000-0002-3197-1251","observed_orcids":["https://orcid.org/0000-0002-3197-1251"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jyotsnarani Tripathy","raw_affiliation_strings":["VNR Vignana Jyothi Institute of Engineering & Technology"],"raw_orcid":"https://orcid.org/0000-0002-3197-1251","affiliations":[{"raw_affiliation_string":"VNR Vignana Jyothi Institute of Engineering & Technology","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9732,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75289256,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"32","issue":"3","first_page":"1655","last_page":"1655"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9199000000953674,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9199000000953674,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.04309999942779541,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.008200000040233135,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/recurrence-prediction","display_name":"recurrence prediction","score":0.5809999704360962},{"id":"https://openalex.org/keywords/correlation-based-feature-selection","display_name":"correlation-based feature selection","score":0.8679999709129333},{"id":"https://openalex.org/keywords/flower-pollination-algorithm","display_name":"flower pollination algorithm","score":0.9990000128746033},{"id":"https://openalex.org/keywords/hybrid-feature-selection","display_name":"hybrid feature selection","score":0.8019999861717224}],"concepts":[{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.7479181289672852},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7128808498382568},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6286904215812683},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6236777305603027},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5918365716934204},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4433358609676361},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.4291784465312958},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.38493359088897705},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.37603938579559326},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.2509341239929199}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.11591/ijeecs.v32.i3.pp1655-1663","doi":"https://doi.org/10.11591/ijeecs.v32.i3.pp1655-1663","is_oa":true,"landing_page_url":"https://doi.org/10.11591/ijeecs.v32.i3.pp1655-1663","pdf_url":"https://ijeecs.iaescore.com/index.php/IJEECS/article/download/33958/17809","source":{"id":"https://openalex.org/S2764855249","display_name":"Indonesian Journal of Electrical Engineering and Computer Science","issn_l":"2502-4752","issn":["2502-4752","2502-4760"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Indonesian Journal of Electrical Engineering and Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.11591/ijeecs.v32.i3.pp1655-1663","doi":"https://doi.org/10.11591/ijeecs.v32.i3.pp1655-1663","is_oa":true,"landing_page_url":"https://doi.org/10.11591/ijeecs.v32.i3.pp1655-1663","pdf_url":"https://ijeecs.iaescore.com/index.php/IJEECS/article/download/33958/17809","source":{"id":"https://openalex.org/S2764855249","display_name":"Indonesian Journal of Electrical Engineering and Computer Science","issn_l":"2502-4752","issn":["2502-4752","2502-4760"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Indonesian Journal of Electrical Engineering and Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.9391000270843506}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388489142.pdf","grobid_xml":"https://content.openalex.org/works/W4388489142.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W2146439308","https://openalex.org/W2324845196","https://openalex.org/W2364240738","https://openalex.org/W2782925919","https://openalex.org/W2793758168","https://openalex.org/W2809533428","https://openalex.org/W3017234814","https://openalex.org/W3087099752","https://openalex.org/W3094657717","https://openalex.org/W3111509279","https://openalex.org/W3120740533","https://openalex.org/W3121502893","https://openalex.org/W3164185089","https://openalex.org/W3203028999","https://openalex.org/W4226290993","https://openalex.org/W4283080447","https://openalex.org/W4283770753","https://openalex.org/W4288068616","https://openalex.org/W4290043220","https://openalex.org/W4307562142","https://openalex.org/W4319081752","https://openalex.org/W4320016072","https://openalex.org/W4327726800","https://openalex.org/W4361022427","https://openalex.org/W4386963653"],"related_works":["https://openalex.org/W7167730929","https://openalex.org/W4401216579","https://openalex.org/W4396223011","https://openalex.org/W4396660283","https://openalex.org/W7204728411","https://openalex.org/W4313526208","https://openalex.org/W3164185089","https://openalex.org/W2797338253","https://openalex.org/W7205007728","https://openalex.org/W4389340703"],"abstract_inverted_index":{"The":[0,119,133,170],"second":[1,120],"leading":[2],"cause":[3],"of":[4,72,93,105,181],"death":[5],"for":[6,140,185],"women":[7],"is":[8,12,24,49],"breast":[9,46,97,108,165,186],"cancer,":[10,47],"which":[11],"growing.":[13],"Some":[14],"cancer":[15,98,109,166],"cells":[16],"may":[17],"remain":[18],"in":[19,45,175],"the":[20,58,82,91,94,136,141,147,161,179,182],"body,":[21],"so":[22],"relapse":[23,110,167,183],"possible":[25],"even":[26],"if":[27],"treatment":[28],"begins":[29],"soon":[30],"after":[31],"diagnosis.":[32],"Since":[33],"there":[34],"are":[35,87],"now":[36],"many":[37,64],"machine":[38],"learning":[39],"(ML)":[40],"approaches":[41],"to":[42,51,56,68,89,124],"recurrence":[43],"prediction":[44],"it":[48],"important":[50,130],"compare":[52],"and":[53,81,100,157,163],"contrast":[54],"them":[55],"find":[57],"most":[59,142],"effective":[60],"one.":[61],"Datasets":[62],"with":[63],"features":[65,127],"often":[66],"lead":[67],"incorrect":[69],"predictions":[70],"because":[71],"this.":[73],"In":[74],"this":[75],"study,":[76],"correlation-based":[77],"feature":[78,131,176],"selection":[79],"(CFS)":[80],"flower":[83],"pollination":[84],"algorithm":[85],"(FPA)":[86],"used":[88],"improve":[90],"quality":[92],"wisconsin":[95],"prognostic":[96],"(WPBC)":[99],"University":[101],"Medical":[102],"Centre,":[103],"Institute":[104],"Oncology":[106],"(UMCIO)":[107],"datasets":[111],"respectively.":[112,169],"Data":[113],"imputation,":[114],"scaling,":[115],"pre-process":[116],"raw":[117],"data.":[118],"stage":[121],"uses":[122],"CFS":[123],"select":[125],"discriminative":[126],"based":[128],"on":[129,160],"correlations.":[132],"FPA":[134],"chose":[135],"optimum":[137],"attribute":[138],"combination":[139],"precise":[143],"answer.":[144],"We":[145],"tested":[146],"approach":[148],"using":[149],"10-fold":[150],"cross-validation":[151],"stratification.":[152],"Various":[153],"trials":[154],"show":[155],"84.85%":[156],"83.92%":[158],"accuracy":[159,180],"WPBC":[162],"UMCIO":[164],"datasets,":[168],"hybrid":[171],"method":[172],"performed":[173],"well":[174],"selection,":[177],"increasing":[178],"classification":[184],"cancer.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2023-11-09T00:00:00"}
