{"id":"https://openalex.org/W4224810550","doi":"https://doi.org/10.1155/2022/1249692","title":"Predicting Characteristics Associated with Breast Cancer Survival Using Multiple Machine Learning Approaches","display_name":"Predicting Characteristics Associated with Breast Cancer Survival Using Multiple Machine Learning Approaches","publication_year":2022,"publication_date":"2022-04-25","ids":{"openalex":"https://openalex.org/W4224810550","doi":"https://doi.org/10.1155/2022/1249692","pmid":"https://pubmed.ncbi.nlm.nih.gov/35509861","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/9060999"},"language":"en","primary_location":{"id":"doi:10.1155/2022/1249692","doi":"https://doi.org/10.1155/2022/1249692","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/1249692","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2022/1249692.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cmmm/2022/1249692.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069733627","display_name":"Mohammad Nazmul Haque","orcid":"https://orcid.org/0000-0002-0598-0867","observed_orcids":["https://orcid.org/0000-0002-0598-0867"]},"institutions":[{"id":"https://openalex.org/I157386601","display_name":"North South University","ror":"https://ror.org/05wdbfp45","country_code":"BD","type":"education","lineage":["https://openalex.org/I157386601"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Mohammad Nazmul Haque","raw_affiliation_strings":["Department of Electrical and Computer Engineering, North South University, Bashundhara, Dhaka 1229, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, North South University, Bashundhara, Dhaka 1229, Bangladesh","institution_ids":["https://openalex.org/I157386601"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038886544","display_name":"Tahia Tazin","orcid":"https://orcid.org/0000-0002-6335-3802","observed_orcids":["https://orcid.org/0000-0002-6335-3802"]},"institutions":[{"id":"https://openalex.org/I157386601","display_name":"North South University","ror":"https://ror.org/05wdbfp45","country_code":"BD","type":"education","lineage":["https://openalex.org/I157386601"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Tahia Tazin","raw_affiliation_strings":["Department of Electrical and Computer Engineering, North South University, Bashundhara, Dhaka 1229, Bangladesh"],"raw_orcid":"https://orcid.org/0000-0002-6335-3802","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, North South University, Bashundhara, Dhaka 1229, Bangladesh","institution_ids":["https://openalex.org/I157386601"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028344189","display_name":"Mohammad Monirujjaman Khan","orcid":"https://orcid.org/0000-0003-0779-8820","observed_orcids":["https://orcid.org/0000-0003-0779-8820"]},"institutions":[{"id":"https://openalex.org/I157386601","display_name":"North South University","ror":"https://ror.org/05wdbfp45","country_code":"BD","type":"education","lineage":["https://openalex.org/I157386601"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Mohammad Monirujjaman Khan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, North South University, Bashundhara, Dhaka 1229, Bangladesh"],"raw_orcid":"https://orcid.org/0000-0003-0779-8820","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, North South University, Bashundhara, Dhaka 1229, Bangladesh","institution_ids":["https://openalex.org/I157386601"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077319889","display_name":"Shahla Faisal","orcid":"https://orcid.org/0000-0002-6303-5986","observed_orcids":["https://orcid.org/0000-0002-6303-5986"]},"institutions":[{"id":"https://openalex.org/I194348271","display_name":"Government College University, Faisalabad","ror":"https://ror.org/051zgra59","country_code":"PK","type":"education","lineage":["https://openalex.org/I194348271"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Shahla Faisal","raw_affiliation_strings":["Department of Statistics, Government College University, Faisalabad, Pakistan"],"raw_orcid":"https://orcid.org/0000-0002-6303-5986","affiliations":[{"raw_affiliation_string":"Department of Statistics, Government College University, Faisalabad, Pakistan","institution_ids":["https://openalex.org/I194348271"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015050118","display_name":"Sobhee Md. Ibraheem","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I157386601","display_name":"North South University","ror":"https://ror.org/05wdbfp45","country_code":"BD","type":"education","lineage":["https://openalex.org/I157386601"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Sobhee Md. Ibraheem","raw_affiliation_strings":["Department of Electrical and Computer Engineering, North South University, Bashundhara, Dhaka 1229, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, North South University, Bashundhara, Dhaka 1229, Bangladesh","institution_ids":["https://openalex.org/I157386601"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016097715","display_name":"Haneen Algethami","orcid":"https://orcid.org/0000-0002-7582-4480","observed_orcids":["https://orcid.org/0000-0002-7582-4480"]},"institutions":[{"id":"https://openalex.org/I179331831","display_name":"Taif University","ror":"https://ror.org/014g1a453","country_code":"SA","type":"education","lineage":["https://openalex.org/I179331831"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Haneen Algethami","raw_affiliation_strings":["Department of Computer Science, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-7582-4480","affiliations":[{"raw_affiliation_string":"Department of Computer Science, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia","institution_ids":["https://openalex.org/I179331831"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011625447","display_name":"Faris A. Almalki","orcid":"https://orcid.org/0000-0002-1291-055X","observed_orcids":["https://orcid.org/0000-0002-1291-055X","https://orcid.org/0000-0003-1045-042X"]},"institutions":[{"id":"https://openalex.org/I179331831","display_name":"Taif University","ror":"https://ror.org/014g1a453","country_code":"SA","type":"education","lineage":["https://openalex.org/I179331831"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Faris A. Almalki","raw_affiliation_strings":["Department of Computer Engineering, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-1291-055X","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia","institution_ids":["https://openalex.org/I179331831"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028344189"],"corresponding_institution_ids":["https://openalex.org/I157386601"],"apc_list":{"value":2550,"currency":"USD","value_usd":2550},"apc_paid":{"value":2550,"currency":"USD","value_usd":2550},"fwci":2.505,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.89917826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"2022","issue":null,"first_page":"1","last_page":"12"},"is_retracted":true,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9175000190734863,"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":0.9175000190734863,"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":0.05999999865889549,"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/T10183","display_name":"Breast Cancer Treatment Studies","score":0.015200000256299973,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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":0.878000020980835},{"id":"https://openalex.org/keywords/survival-prediction","display_name":"survival prediction","score":0.8840000033378601},{"id":"https://openalex.org/keywords/prognostic-factors","display_name":"prognostic factors","score":0.8899999856948853},{"id":"https://openalex.org/keywords/infiltrating-duct-carcinoma","display_name":"infiltrating duct carcinoma","score":0.859000027179718},{"id":"https://openalex.org/keywords/invasive-lobular-carcinoma","display_name":"invasive lobular carcinoma","score":0.8880000114440918},{"id":"https://openalex.org/keywords/seer-database","display_name":"SEER database","score":0.8320000171661377},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.8679999709129333},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"gradient boosting","score":0.8820000290870667},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.8500000238418579},{"id":"https://openalex.org/keywords/k-nearest-neighbors","display_name":"k-nearest neighbors","score":0.7919999957084656},{"id":"https://openalex.org/keywords/decision-tree","display_name":"decision tree","score":0.8849999904632568},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.8650000095367432},{"id":"https://openalex.org/keywords/voting-classifier","display_name":"voting classifier","score":0.828000009059906},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"logistic regression","score":0.8240000009536743},{"id":"https://openalex.org/keywords/asian-patients","display_name":"Asian patients","score":0.40700000524520874}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7523101568222046},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.6543095111846924},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.6125932931900024},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5892185568809509},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5851736068725586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5520652532577515},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5256845951080322},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4996211528778076},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.4939575791358948},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4741363227367401},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.43947482109069824},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.32501447200775146},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.30947595834732056},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2904013991355896},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1155/2022/1249692","doi":"https://doi.org/10.1155/2022/1249692","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/1249692","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2022/1249692.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9060999","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9060999","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Comput Math Methods Med","raw_type":"Text"},{"id":"pmid:35509861","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35509861","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and mathematical methods in medicine","raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:a405a500a93948c9a7fe035365725869","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/a405a500a93948c9a7fe035365725869","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational and Mathematical Methods in Medicine, Vol 2022 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2022/1249692","doi":"https://doi.org/10.1155/2022/1249692","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/1249692","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2022/1249692.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.9763000011444092,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G6787061203","display_name":null,"funder_award_id":"TURSP-2020/265","funder_id":"https://openalex.org/F4320323722","funder_display_name":"Taif University"},{"id":"https://openalex.org/G7299194679","display_name":null,"funder_award_id":"TURSP-2020","funder_id":"https://openalex.org/F4320323722","funder_display_name":"Taif University"}],"funders":[{"id":"https://openalex.org/F4320323722","display_name":"Taif University","ror":"https://ror.org/014g1a453"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4224810550.pdf","grobid_xml":"https://content.openalex.org/works/W4224810550.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1518653822","https://openalex.org/W1825925264","https://openalex.org/W1826082914","https://openalex.org/W1850710971","https://openalex.org/W1992531128","https://openalex.org/W2000692343","https://openalex.org/W2007022499","https://openalex.org/W2008643227","https://openalex.org/W2012035409","https://openalex.org/W2020492074","https://openalex.org/W2044527070","https://openalex.org/W2049082433","https://openalex.org/W2052598245","https://openalex.org/W2076514666","https://openalex.org/W2077508108","https://openalex.org/W2113820196","https://openalex.org/W2115193896","https://openalex.org/W2137687977","https://openalex.org/W2141624778","https://openalex.org/W2146424733","https://openalex.org/W2154953776","https://openalex.org/W2160026089","https://openalex.org/W2170527280","https://openalex.org/W2265597572","https://openalex.org/W2278972578","https://openalex.org/W2328733597","https://openalex.org/W2548087855","https://openalex.org/W2557117995","https://openalex.org/W2567326027","https://openalex.org/W2605224424","https://openalex.org/W2613435286","https://openalex.org/W2785184148","https://openalex.org/W2788508510","https://openalex.org/W2797591735","https://openalex.org/W2909890632","https://openalex.org/W4236941632"],"related_works":["https://openalex.org/W2940689983","https://openalex.org/W4388244480","https://openalex.org/W4385231140","https://openalex.org/W4361760121","https://openalex.org/W4400911071","https://openalex.org/W2024401948","https://openalex.org/W4214556799","https://openalex.org/W4413577396","https://openalex.org/W2979728569","https://openalex.org/W6945604155"],"abstract_inverted_index":{"Breast":[0],"cancer":[1,55,62,79,98,136,234],"is":[2],"one":[3,114],"of":[4,24,35,53,175],"the":[5,22,67,121,182,195,199,209,239],"most":[6],"commonly":[7],"diagnosed":[8,86],"female":[9,84],"disorders":[10],"globally.":[11],"Numerous":[12],"studies":[13],"have":[14],"been":[15],"conducted":[16,28],"to":[17,43,120],"predict":[18],"survival":[19,56,123,137,235],"markers,":[20],"although":[21],"majority":[23],"these":[25,223],"analyses":[26],"were":[27,118,141],"using":[29,143],"simple":[30],"statistical":[31],"techniques.":[32],"In":[33],"lieu":[34],"that,":[36],"this":[37,216],"research":[38,217],"employed":[39],"machine":[40,166,211],"learning":[41,212],"approaches":[42,224],"develop":[44],"models":[45,140],"for":[46],"identifying":[47],"and":[48,89,94,113,163,178,194],"visualizing":[49],"relevant":[50],"prognostic":[51,131,230],"indications":[52],"breast":[54,61,97,135,233],"rates.":[57],"A":[58],"comprehensive":[59],"hospital-based":[60],"dataset":[63,82,108],"was":[64],"collected":[65],"from":[66,185,198],"National":[68],"Cancer":[69],"Institute\u2019s":[70],"SEER":[71],"Program\u2019s":[72],"November":[73],"2017":[74],"update,":[75],"which":[76],"offers":[77],"population-based":[78],"statistics.":[80],"The":[81,107],"included":[83,109],"patients":[85],"between":[87],"2006":[88],"2010":[90],"with":[91,134,181],"infiltrating":[92],"duct":[93],"lobular":[95],"carcinoma":[96],"(SEER":[99],"primary":[100],"cites":[101],"recode":[102],"NOS":[103],"histology":[104],"codes":[105],"8522/3).":[106],"nine":[110],"predictor":[111,115],"factors":[112],"variable":[116],"that":[117,222],"linked":[119],"patients\u2019":[122],"status":[124],"(alive":[125],"or":[126],"dead).":[127],"To":[128],"identify":[129],"important":[130],"markers":[132],"associated":[133],"rates,":[138],"prediction":[139],"constructed":[142],"K":[144],"-nearest":[145],"neighbor":[146],"(K-NN),":[147],"decision":[148],"tree":[149],"(DT),":[150],"gradient":[151],"boosting":[152],"(GB),":[153],"random":[154,200],"forest":[155,201],"(RF),":[156],"AdaBoost,":[157],"logistic":[158,186],"regression":[159,187],"(LR),":[160],"voting":[161],"classifier,":[162],"support":[164],"vector":[165],"(SVM).":[167],"All":[168],"methods":[169],"yielded":[170],"close":[171],"results":[172],"in":[173,215,232,238],"terms":[174],"model":[176],"accuracy":[177,189,203],"calibration":[179],"measures,":[180],"lowest":[183],"achieved":[184,218],"(":[188,202],"=":[190,204],"80.57":[191],"percent":[192,206],")":[193],"greatest":[196],"acquired":[197],"94.64":[205],").":[207],"Notably,":[208],"multiple":[210],"algorithms":[213],"utilized":[214],"high":[219],"accuracy,":[220],"suggesting":[221],"might":[225],"be":[226],"used":[227],"as":[228],"alternative":[229],"tools":[231],"studies,":[236],"especially":[237],"Asian":[240],"area.":[241]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2022-04-27T00:00:00"}
