{"id":"https://openalex.org/W3000991176","doi":"https://doi.org/10.1109/spac46244.2018.8965528","title":"Breast cancer risk prediction model based on C5.0 algorithm for postmenopausal women","display_name":"Breast cancer risk prediction model based on C5.0 algorithm for postmenopausal women","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W3000991176","doi":"https://doi.org/10.1109/spac46244.2018.8965528","mag":"3000991176"},"language":"en","primary_location":{"id":"doi:10.1109/spac46244.2018.8965528","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spac46244.2018.8965528","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","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/A5100461895","display_name":"Xia Zhang","orcid":"https://orcid.org/0000-0001-7005-4387"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xia Zhang","raw_affiliation_strings":["School of Information Science and engineering, University of Jinan, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and engineering, University of Jinan, Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101296035","display_name":"Yingming Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingming Sun","raw_affiliation_strings":["School of Information Science and engineering, University of Jinan, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and engineering, University of Jinan, Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100461895"],"corresponding_institution_ids":["https://openalex.org/I34949971"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.26011895,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"321","last_page":"325"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9611999988555908,"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":0.9611999988555908,"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":0.9567000269889832,"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/T11297","display_name":"Ferroptosis and cancer prognosis","score":0.9521999955177307,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.8729177713394165},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6268616914749146},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.614858865737915},{"id":"https://openalex.org/keywords/menopause","display_name":"Menopause","score":0.5881949067115784},{"id":"https://openalex.org/keywords/family-history","display_name":"Family history","score":0.5711082220077515},{"id":"https://openalex.org/keywords/postmenopausal-women","display_name":"Postmenopausal women","score":0.526546061038971},{"id":"https://openalex.org/keywords/gynecology","display_name":"Gynecology","score":0.49375662207603455},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.4844250977039337},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4435674846172333},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4388633966445923},{"id":"https://openalex.org/keywords/obstetrics","display_name":"Obstetrics","score":0.3705105185508728},{"id":"https://openalex.org/keywords/oncology","display_name":"Oncology","score":0.34836041927337646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3358490467071533},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.30523747205734253}],"concepts":[{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.8729177713394165},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6268616914749146},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.614858865737915},{"id":"https://openalex.org/C2778562196","wikidata":"https://www.wikidata.org/wiki/Q177708","display_name":"Menopause","level":2,"score":0.5881949067115784},{"id":"https://openalex.org/C2781179581","wikidata":"https://www.wikidata.org/wiki/Q2857712","display_name":"Family history","level":2,"score":0.5711082220077515},{"id":"https://openalex.org/C3018603563","wikidata":"https://www.wikidata.org/wiki/Q177708","display_name":"Postmenopausal women","level":2,"score":0.526546061038971},{"id":"https://openalex.org/C29456083","wikidata":"https://www.wikidata.org/wiki/Q1221899","display_name":"Gynecology","level":1,"score":0.49375662207603455},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.4844250977039337},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4435674846172333},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4388633966445923},{"id":"https://openalex.org/C131872663","wikidata":"https://www.wikidata.org/wiki/Q5284418","display_name":"Obstetrics","level":1,"score":0.3705105185508728},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.34836041927337646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3358490467071533},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.30523747205734253}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spac46244.2018.8965528","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spac46244.2018.8965528","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2340636398","https://openalex.org/W2521806045","https://openalex.org/W2578188891","https://openalex.org/W2917837889"],"related_works":["https://openalex.org/W2424637506","https://openalex.org/W2358095566","https://openalex.org/W4292839951","https://openalex.org/W2776552698","https://openalex.org/W1970092435","https://openalex.org/W2066109934","https://openalex.org/W2047176015","https://openalex.org/W1964234198","https://openalex.org/W2020012238","https://openalex.org/W3208567627"],"abstract_inverted_index":{"Breast":[0],"cancer":[1,54,75,79,121,145],"is":[2,131,146,169],"one":[3],"of":[4,10,29,52,67,143,154,157,163,173,189],"the":[5,13,20,27,41,50,65,90,164,177,186],"most":[6,17],"common":[7],"malignant":[8],"tumors":[9],"women":[11,39,70],"in":[12,19,24,118,176],"world,":[14],"and":[15,49,89,109,161,180],"it":[16],"happen":[18],"elderly":[21],"women,":[22],"but":[23],"recent":[25],"years":[26,72],"age":[28,153,162],"onset":[30],"has":[31,115,181],"become":[32],"younger.":[33],"As":[34],"we":[35],"know":[36],"that,":[37],"postmenopausal":[38,69],"are":[40,55],"groups":[42],"with":[43,101,128,136,149],"less":[44],"research":[45,168],"on":[46,64,84],"breast":[47,53,74,78,120,144,159,190],"cancer,":[48],"characteristics":[51],"still":[56],"to":[57],"be":[58],"explored.":[59],"In":[60],"this":[61],"paper,":[62],"based":[63,83],"characteristic":[66],"1031":[68],"(\u226543":[71],"old)":[73],"data,":[76],"a":[77,170],"risk":[80,122,142],"prediction":[81,123],"model":[82,91,135],"C5.0":[85,113],"algorithm":[86,114],"was":[87,92],"constructed":[88],"optimized.":[93],"The":[94,141],"experimental":[95],"results":[96],"show":[97],"that:":[98],"a)":[99],"Compared":[100],"machine":[102],"learning":[103],"methods":[104],"such":[105],"as":[106],"neural":[107],"network":[108],"support":[110],"vector":[111],"machine,":[112],"better":[116,132],"performance":[117],"constructing":[119],"model;":[124],"b)":[125],"Costmatrix_C5.0":[126],"Model":[127],"cost":[129],"matrix":[130],"than":[133],"adaptiveboosting_c5.0":[134],"Adaptive":[137],"Enhancement":[138],"algorithm;":[139],"c)":[140],"strongly":[147],"correlated":[148],"post-menopausal":[150],"hormones,":[151],"age,":[152],"menopause,":[155],"history":[156],"benign":[158],"disease":[160],"first":[165],"childbearing.":[166],"This":[167],"practical":[171],"application":[172],"data":[174],"mining":[175],"medical":[178],"field":[179],"certain":[182],"reference":[183],"value":[184],"for":[185],"clinical":[187],"diagnosis":[188],"cancer.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}