{"id":"https://openalex.org/W4412948698","doi":"https://doi.org/10.5815/ijem.2025.04.03","title":"Comparative Evaluation of Supervised Learning Algorithms for Breast Cancer Classification","display_name":"Comparative Evaluation of Supervised Learning Algorithms for Breast Cancer Classification","publication_year":2025,"publication_date":"2025-08-05","ids":{"openalex":"https://openalex.org/W4412948698","doi":"https://doi.org/10.5815/ijem.2025.04.03"},"language":"en","primary_location":{"id":"doi:10.5815/ijem.2025.04.03","doi":"https://doi.org/10.5815/ijem.2025.04.03","is_oa":true,"landing_page_url":"https://doi.org/10.5815/ijem.2025.04.03","pdf_url":"https://www.mecs-press.org/ijem/ijem-v15-n4/IJEM-V15-N4-3.pdf","source":{"id":"https://openalex.org/S2504487511","display_name":"International Journal of Engineering and Manufacturing","issn_l":"2305-3631","issn":["2305-3631","2306-5982"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Engineering and Manufacturing","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://www.mecs-press.org/ijem/ijem-v15-n4/IJEM-V15-N4-3.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024920802","display_name":"Adithya Kusuma Whardana","orcid":"https://orcid.org/0000-0003-2951-9511","observed_orcids":["https://orcid.org/0000-0003-2951-9511"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Adithya Kusuma Whardana","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5143224827","display_name":"Ruth Kristian Putri","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405274212","display_name":"Tanri Abeng University","ror":"https://ror.org/019jhfc79","country_code":"ID","type":"education","lineage":["https://openalex.org/I4405274212"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Ruth Kristian Putri","raw_affiliation_strings":["Information Technology , Tanri Abeng University , Jakarta , Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology , Tanri Abeng University , Jakarta , Indonesia","institution_ids":["https://openalex.org/I4405274212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.84,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.84996679,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"15","issue":"4","first_page":"29","last_page":"38"},"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":0.07029999792575836,"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":0.005200000014156103,"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/breast-cancer-classification","display_name":"breast cancer classification","score":0.9810000061988831},{"id":"https://openalex.org/keywords/breast-cancer-diagnosis","display_name":"breast cancer diagnosis","score":0.5360000133514404},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.6340000033378601},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":1.0},{"id":"https://openalex.org/keywords/k-nearest-neighbors","display_name":"k-nearest neighbors","score":0.9919999837875366},{"id":"https://openalex.org/keywords/algorithm-comparison","display_name":"algorithm comparison","score":0.7789999842643738},{"id":"https://openalex.org/keywords/wisconsin-diagnostic-breast-cancer-dataset","display_name":"Wisconsin Breast Cancer dataset","score":0.847000002861023}],"concepts":[{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.5684446096420288},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5212950706481934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.516555905342102},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5129220485687256},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3843119740486145},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.2848805785179138},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1858171820640564},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.08252525329589844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5815/ijem.2025.04.03","doi":"https://doi.org/10.5815/ijem.2025.04.03","is_oa":true,"landing_page_url":"https://doi.org/10.5815/ijem.2025.04.03","pdf_url":"https://www.mecs-press.org/ijem/ijem-v15-n4/IJEM-V15-N4-3.pdf","source":{"id":"https://openalex.org/S2504487511","display_name":"International Journal of Engineering and Manufacturing","issn_l":"2305-3631","issn":["2305-3631","2306-5982"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Engineering and Manufacturing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.5815/ijem.2025.04.03","doi":"https://doi.org/10.5815/ijem.2025.04.03","is_oa":true,"landing_page_url":"https://doi.org/10.5815/ijem.2025.04.03","pdf_url":"https://www.mecs-press.org/ijem/ijem-v15-n4/IJEM-V15-N4-3.pdf","source":{"id":"https://openalex.org/S2504487511","display_name":"International Journal of Engineering and Manufacturing","issn_l":"2305-3631","issn":["2305-3631","2306-5982"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Engineering and Manufacturing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.9391000270843506,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412948698.pdf","grobid_xml":"https://content.openalex.org/works/W4412948698.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1994307947","https://openalex.org/W2114899825","https://openalex.org/W2236787428","https://openalex.org/W2903404871","https://openalex.org/W2979268869","https://openalex.org/W3022917242","https://openalex.org/W3045612417","https://openalex.org/W3098192932","https://openalex.org/W3140976151","https://openalex.org/W3155318619","https://openalex.org/W3168410720","https://openalex.org/W4323040292","https://openalex.org/W4393231711","https://openalex.org/W4402013180","https://openalex.org/W4404655990"],"related_works":["https://openalex.org/W4413539426","https://openalex.org/W4402924350","https://openalex.org/W4402413069","https://openalex.org/W6949694208","https://openalex.org/W3213683101","https://openalex.org/W7217071113","https://openalex.org/W7215892432","https://openalex.org/W7090198876","https://openalex.org/W4405702334","https://openalex.org/W4393337923"],"abstract_inverted_index":{"Breast":[0,50],"cancer":[1,46,107],"is":[2,18],"a":[3],"leading":[4],"cause":[5],"of":[6,28,56,112,119],"mortality":[7],"among":[8],"women":[9],"worldwide,":[10],"particularly":[11],"in":[12],"developing":[13],"countries.Accurate":[14],"and":[15,40,65,91,128],"early":[16],"diagnosis":[17],"crucial":[19],"to":[20,124],"improve":[21],"patient":[22],"outcomes.This":[23],"study":[24,115],"compares":[25],"the":[26,49,82,101,110,117],"performance":[27,104],"three":[29],"supervised":[30],"machine":[31],"learning":[32],"algorithms-Support":[33],"Vector":[34],"Machine":[35],"(SVM),":[36],"K-Nearest":[37],"Neighbor":[38],"(KNN),":[39],"Random":[41,79,98,130],"Forest":[42,80,99,131],"(RF)-in":[43],"classifying":[44],"breast":[45,106],"cases":[47],"using":[48],"Cancer":[51],"Wisconsin":[52],"dataset.The":[53],"dataset":[54],"consists":[55],"569":[57],"instances":[58],"with":[59,89,93],"33":[60],"features,":[61],"categorized":[62],"into":[63],"malignant":[64],"benign":[66],"classes.Each":[67],"method":[68,135],"was":[69],"evaluated":[70],"based":[71],"on":[72],"its":[73],"classification":[74,108,138],"accuracy.The":[75],"results":[76],"show":[77],"that":[78,97],"achieved":[81],"highest":[83],"accuracy":[84],"at":[85],"94.07%,":[86],"outperforming":[87],"SVM":[88],"90.06%":[90],"KNN":[92],"90.00%.The":[94],"findings":[95],"suggest":[96],"provides":[100],"most":[102],"reliable":[103],"for":[105,136],"within":[109],"scope":[111],"this":[113],"dataset.This":[114],"highlights":[116],"importance":[118],"selecting":[120],"an":[121,133],"appropriate":[122],"algorithm":[123],"enhance":[125],"diagnostic":[126],"precision":[127],"recommends":[129],"as":[132],"effective":[134],"similar":[137],"tasks.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2025-08-05T00:00:00"}