{"id":"https://openalex.org/W2781900029","doi":"https://doi.org/10.1109/access.2018.2789428","title":"Class Weights Random Forest Algorithm for Processing Class Imbalanced Medical Data","display_name":"Class Weights Random Forest Algorithm for Processing Class Imbalanced Medical Data","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2781900029","doi":"https://doi.org/10.1109/access.2018.2789428","mag":"2781900029"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2789428","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2789428","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2789428","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101725198","display_name":"Min Zhu","orcid":"https://orcid.org/0000-0003-2282-8274"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Min Zhu","raw_affiliation_strings":["Department of Biomedical Engineering, Zhejiang University, Hangzhou, Zhejiang, China","Guizhou Key Laboratory of Agricultural Bioengineering, Guizhou University, Guiyang, China"],"raw_orcid":"https://orcid.org/0000-0003-2282-8274","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Guizhou Key Laboratory of Agricultural Bioengineering, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086727322","display_name":"Jing Xia","orcid":"https://orcid.org/0000-0002-5476-727X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Xia","raw_affiliation_strings":["Department of Biomedical Engineering, Zhejiang University, Hangzhou, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005037066","display_name":"Xiaoqing Jin","orcid":"https://orcid.org/0000-0002-8836-3505"},"institutions":[{"id":"https://openalex.org/I4210119853","display_name":"Zhejiang Hospital","ror":"https://ror.org/02kzr5g33","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210119853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqing Jin","raw_affiliation_strings":["Zhejiang Hospital, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Hospital, Hangzhou, China","institution_ids":["https://openalex.org/I4210119853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101530193","display_name":"Molei Yan","orcid":"https://orcid.org/0000-0003-2360-5929"},"institutions":[{"id":"https://openalex.org/I4210119853","display_name":"Zhejiang Hospital","ror":"https://ror.org/02kzr5g33","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210119853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Molei Yan","raw_affiliation_strings":["Zhejiang Hospital, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Hospital, Hangzhou, China","institution_ids":["https://openalex.org/I4210119853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101740948","display_name":"Guolong Cai","orcid":"https://orcid.org/0000-0003-0056-663X"},"institutions":[{"id":"https://openalex.org/I4210119853","display_name":"Zhejiang Hospital","ror":"https://ror.org/02kzr5g33","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210119853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guolong Cai","raw_affiliation_strings":["Zhejiang Hospital, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Hospital, Hangzhou, China","institution_ids":["https://openalex.org/I4210119853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100729701","display_name":"Jing Yan","orcid":"https://orcid.org/0000-0002-5264-8197"},"institutions":[{"id":"https://openalex.org/I4210119853","display_name":"Zhejiang Hospital","ror":"https://ror.org/02kzr5g33","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210119853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Yan","raw_affiliation_strings":["Zhejiang Hospital, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Hospital, Hangzhou, China","institution_ids":["https://openalex.org/I4210119853"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035068745","display_name":"Gangmin Ning","orcid":"https://orcid.org/0000-0001-9107-5785"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gangmin Ning","raw_affiliation_strings":["Department of Biomedical Engineering, Zhejiang University, Hangzhou, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101725198"],"corresponding_institution_ids":["https://openalex.org/I178232147","https://openalex.org/I76130692"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":13.0346,"has_fulltext":false,"cited_by_count":188,"citation_normalized_percentile":{"value":0.98857191,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"6","issue":null,"first_page":"4641","last_page":"4652"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9987999796867371,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9987999796867371,"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":0.9940000176429749,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9535999894142151,"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/computer-science","display_name":"Computer science","score":0.6904294490814209},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6777379512786865},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6755771040916443},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6015996932983398},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.568576991558075},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5592918992042542},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4628673195838928},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4459887444972992},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4395814836025238},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43269580602645874},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4036010503768921}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6904294490814209},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6777379512786865},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6755771040916443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6015996932983398},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.568576991558075},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5592918992042542},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4628673195838928},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4459887444972992},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4395814836025238},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43269580602645874},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4036010503768921},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2789428","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2789428","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:71f7d009913742f9baf334ef20972f89","is_oa":true,"landing_page_url":"https://doaj.org/article/71f7d009913742f9baf334ef20972f89","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,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 4641-4652 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2789428","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2789428","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.6299999952316284}],"awards":[{"id":"https://openalex.org/G5032648542","display_name":null,"funder_award_id":"81271662","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":101,"referenced_works":["https://openalex.org/W8550658","https://openalex.org/W162606784","https://openalex.org/W292462921","https://openalex.org/W1042883555","https://openalex.org/W1071888377","https://openalex.org/W1512000873","https://openalex.org/W1577635650","https://openalex.org/W1819522214","https://openalex.org/W1885645786","https://openalex.org/W1964675540","https://openalex.org/W1966359730","https://openalex.org/W1971654215","https://openalex.org/W1975412991","https://openalex.org/W1975907962","https://openalex.org/W1991286329","https://openalex.org/W1996061706","https://openalex.org/W1998736688","https://openalex.org/W1999825873","https://openalex.org/W2004923471","https://openalex.org/W2005330159","https://openalex.org/W2009852059","https://openalex.org/W2014056170","https://openalex.org/W2022651247","https://openalex.org/W2024034278","https://openalex.org/W2030366379","https://openalex.org/W2052825782","https://openalex.org/W2065623022","https://openalex.org/W2079023204","https://openalex.org/W2080323655","https://openalex.org/W2095704239","https://openalex.org/W2096754770","https://openalex.org/W2103050290","https://openalex.org/W2110531121","https://openalex.org/W2113599721","https://openalex.org/W2120153268","https://openalex.org/W2130879571","https://openalex.org/W2172359919","https://openalex.org/W2174254273","https://openalex.org/W2187523974","https://openalex.org/W2190045360","https://openalex.org/W2220926743","https://openalex.org/W2234236208","https://openalex.org/W2259343653","https://openalex.org/W2261059368","https://openalex.org/W2269142245","https://openalex.org/W2270702445","https://openalex.org/W2274383880","https://openalex.org/W2278830514","https://openalex.org/W2295336430","https://openalex.org/W2305347498","https://openalex.org/W2318863789","https://openalex.org/W2338019546","https://openalex.org/W2339757727","https://openalex.org/W2346747597","https://openalex.org/W2354826874","https://openalex.org/W2362028749","https://openalex.org/W2406430856","https://openalex.org/W2408311630","https://openalex.org/W2418698374","https://openalex.org/W2426032775","https://openalex.org/W2461206315","https://openalex.org/W2461701986","https://openalex.org/W2472223596","https://openalex.org/W2487173679","https://openalex.org/W2493474429","https://openalex.org/W2503178723","https://openalex.org/W2509027853","https://openalex.org/W2509807924","https://openalex.org/W2520599539","https://openalex.org/W2540642777","https://openalex.org/W2546692855","https://openalex.org/W2563720511","https://openalex.org/W2564146927","https://openalex.org/W2574702625","https://openalex.org/W2582043155","https://openalex.org/W2589036118","https://openalex.org/W2590611054","https://openalex.org/W2594165429","https://openalex.org/W2594655277","https://openalex.org/W2603419731","https://openalex.org/W2605775468","https://openalex.org/W2606358176","https://openalex.org/W2606580569","https://openalex.org/W2610135452","https://openalex.org/W2611966998","https://openalex.org/W2612039592","https://openalex.org/W2624470268","https://openalex.org/W2625843652","https://openalex.org/W2666784499","https://openalex.org/W2738552792","https://openalex.org/W2739596448","https://openalex.org/W2752032793","https://openalex.org/W2911964244","https://openalex.org/W2979227607","https://openalex.org/W2997833137","https://openalex.org/W3001208697","https://openalex.org/W3099478002","https://openalex.org/W4210949798","https://openalex.org/W6667251026","https://openalex.org/W6688612899","https://openalex.org/W6725453718"],"related_works":["https://openalex.org/W2889302474","https://openalex.org/W4401361218","https://openalex.org/W2034680797","https://openalex.org/W2967426019","https://openalex.org/W3210752578","https://openalex.org/W2990537558","https://openalex.org/W4207040723","https://openalex.org/W4200492042","https://openalex.org/W2621610018","https://openalex.org/W2601142304"],"abstract_inverted_index":{"The":[0,64],"classification":[1],"in":[2,10,27,29,91],"class":[3,42,58],"imbalanced":[4,74],"data":[5,69],"has":[6],"drawn":[7],"significant":[8],"interest":[9],"medical":[11,75],"application.":[12],"Most":[13],"existing":[14],"methods":[15],"are":[16],"prone":[17],"to":[18,48],"categorize":[19],"the":[20,23,31,50,77,81,85],"samples":[21],"into":[22],"majority":[24,94],"class,":[25],"resulting":[26],"bias,":[28],"particular":[30],"insufficient":[32],"identification":[33],"of":[34,39,60,84],"minority":[35,96],"class.":[36,97],"A":[37],"kind":[38],"novel":[40],"approach,":[41],"weights":[43,55],"random":[44],"forest":[45],"is":[46],"introduced":[47],"address":[49],"problem,":[51],"by":[52],"assigning":[53],"individual":[54],"for":[56,73],"each":[57],"instead":[59],"a":[61],"single":[62],"weight.":[63],"validation":[65],"test":[66],"on":[67],"UCI":[68],"sets":[70],"demonstrates":[71],"that":[72],"data,":[76],"proposed":[78],"method":[79],"enhanced":[80],"overall":[82],"performance":[83],"classifier":[86],"while":[87],"producing":[88],"high":[89],"accuracy":[90],"identifying":[92],"both":[93],"and":[95]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":28},{"year":2022,"cited_by_count":35},{"year":2021,"cited_by_count":31},{"year":2020,"cited_by_count":25},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":12}],"updated_date":"2026-05-17T08:19:37.847499","created_date":"2025-10-10T00:00:00"}
