{"id":"https://openalex.org/W2139470574","doi":"https://doi.org/10.1109/emeit.2011.6023012","title":"Predicting breast cancer survivability using random forest and multivariate adaptive regression splines","display_name":"Predicting breast cancer survivability using random forest and multivariate adaptive regression splines","publication_year":2011,"publication_date":"2011-08-01","ids":{"openalex":"https://openalex.org/W2139470574","doi":"https://doi.org/10.1109/emeit.2011.6023012","mag":"2139470574"},"language":"en","primary_location":{"id":"doi:10.1109/emeit.2011.6023012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/emeit.2011.6023012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2011 International Conference on Electronic &amp; Mechanical Engineering and Information Technology","raw_type":"proceedings-article"},"type":"article","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/A5006789705","display_name":"Dengju Yao","orcid":"https://orcid.org/0000-0002-4974-3054"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dengju Yao","raw_affiliation_strings":["College of Computer Science and Technology, Harbin Engineering University, Harbin Heilongjiang, China","College of Computer Science and Technology, Harbin Engineering University, Harbin, Heilongjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Harbin Engineering University, Harbin Heilongjiang, China","institution_ids":["https://openalex.org/I151727225"]},{"raw_affiliation_string":"College of Computer Science and Technology, Harbin Engineering University, Harbin, Heilongjiang, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100753238","display_name":"Jing Yang","orcid":"https://orcid.org/0000-0001-6646-3401"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Yang","raw_affiliation_strings":["College of Computer Science and Technology, Harbin Engineering University, Harbin Heilongjiang, China","College of Computer Science and Technology, Harbin Engineering University, Harbin, Heilongjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Harbin Engineering University, Harbin Heilongjiang, China","institution_ids":["https://openalex.org/I151727225"]},{"raw_affiliation_string":"College of Computer Science and Technology, Harbin Engineering University, Harbin, Heilongjiang, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109549118","display_name":"Xiaojuan Zhan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210161462","display_name":"Heilongjiang Institute of Technology","ror":"https://ror.org/05x0m9n95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210161462"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojuan Zhan","raw_affiliation_strings":["Department of Computer Science and Technology, Heilongjiang Institute of Technology, Harbin Heilongjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Heilongjiang Institute of Technology, Harbin Heilongjiang, China","institution_ids":["https://openalex.org/I4210161462"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.13642208,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":null,"first_page":"2204","last_page":"2207"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9858999848365784,"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":0.9858999848365784,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9789000153541565,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9613999724388123,"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/multivariate-adaptive-regression-splines","display_name":"Multivariate adaptive regression splines","score":0.9164345264434814},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.8710176944732666},{"id":"https://openalex.org/keywords/survivability","display_name":"Survivability","score":0.7738860845565796},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.7358502149581909},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6391850709915161},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5589562058448792},{"id":"https://openalex.org/keywords/cross-validation","display_name":"Cross-validation","score":0.5037278532981873},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.4928872585296631},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.461029589176178},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44518938660621643},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.44144701957702637},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4353957772254944},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4134732186794281},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.36666348576545715},{"id":"https://openalex.org/keywords/bayesian-multivariate-linear-regression","display_name":"Bayesian multivariate linear regression","score":0.26882404088974},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21889477968215942},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.18692299723625183},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13838115334510803}],"concepts":[{"id":"https://openalex.org/C44882253","wikidata":"https://www.wikidata.org/wiki/Q3455882","display_name":"Multivariate adaptive regression splines","level":4,"score":0.9164345264434814},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.8710176944732666},{"id":"https://openalex.org/C2781133158","wikidata":"https://www.wikidata.org/wiki/Q1088669","display_name":"Survivability","level":2,"score":0.7738860845565796},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7358502149581909},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6391850709915161},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5589562058448792},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.5037278532981873},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.4928872585296631},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.461029589176178},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44518938660621643},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.44144701957702637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4353957772254944},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4134732186794281},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.36666348576545715},{"id":"https://openalex.org/C64946054","wikidata":"https://www.wikidata.org/wiki/Q4874476","display_name":"Bayesian multivariate linear regression","level":3,"score":0.26882404088974},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21889477968215942},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.18692299723625183},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13838115334510803},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/emeit.2011.6023012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/emeit.2011.6023012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2011 International Conference on Electronic &amp; Mechanical Engineering and Information Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323085","display_name":"Natural Science Foundation of Heilongjiang Province","ror":null},{"id":"https://openalex.org/F4320332688","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1573647811","https://openalex.org/W1594031697","https://openalex.org/W1983024255","https://openalex.org/W1998560003","https://openalex.org/W2012784065","https://openalex.org/W2027463308","https://openalex.org/W2102201073","https://openalex.org/W2116767760","https://openalex.org/W2126401726","https://openalex.org/W2132873308","https://openalex.org/W2149846955","https://openalex.org/W2911964244","https://openalex.org/W3085162807","https://openalex.org/W6634147026"],"related_works":["https://openalex.org/W2048488252","https://openalex.org/W4289884158","https://openalex.org/W4288365262","https://openalex.org/W2033531685","https://openalex.org/W2940614149","https://openalex.org/W2787485953","https://openalex.org/W3148095850","https://openalex.org/W3217432596","https://openalex.org/W2000473249","https://openalex.org/W2791534013"],"abstract_inverted_index":{"In":[0],"this":[1,78],"paper,":[2],"we":[3],"propose":[4],"a":[5,18,30,38,94,105,109],"hybrid":[6],"of":[7,33,77],"random":[8,26],"forest":[9,27],"and":[10,35,56,90,108],"multivariate":[11],"adaptive":[12],"regression":[13],"splines":[14],"algorithms":[15],"for":[16,66,70],"building":[17,67],"breast":[19,72],"cancer":[20,73],"survivability":[21],"prediction":[22],"model.":[23,112],"We":[24],"use":[25],"to":[28,36,52],"perform":[29],"preliminary":[31],"screening":[32],"variables":[34],"receive":[37],"importance":[39],"ranks.":[40],"Then,":[41],"the":[42,60,101],"new":[43],"dataset":[44,50],"is":[45,57,64,81],"extracted":[46],"from":[47],"initial":[48],"WDBC":[49],"according":[51],"top-k":[53],"important":[54],"predictors":[55],"input":[58],"into":[59],"MARS":[61],"procedure,":[62],"which":[63],"responsible":[65],"interpretable":[68],"models":[69],"predicting":[71],"survivability.":[74],"The":[75],"capability":[76],"combination":[79],"method":[80,103],"evaluated":[82],"using":[83],"basic":[84],"performance":[85],"measurements":[86],"(e.g.,":[87],"accuracy,":[88],"sensitivity,":[89],"specificity)":[91],"along":[92],"with":[93],"10-fold":[95],"cross-validation.":[96],"Experimental":[97],"results":[98],"show":[99],"that":[100],"proposed":[102],"provides":[104],"higher":[106],"accuracy":[107],"relatively":[110],"simple":[111]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
