{"id":"https://openalex.org/W3136662390","doi":"https://doi.org/10.1186/s12911-021-01471-4","title":"Exploratory study on classification of diabetes mellitus through a combined Random Forest Classifier","display_name":"Exploratory study on classification of diabetes mellitus through a combined Random Forest Classifier","publication_year":2021,"publication_date":"2021-03-20","ids":{"openalex":"https://openalex.org/W3136662390","doi":"https://doi.org/10.1186/s12911-021-01471-4","mag":"3136662390","pmid":"https://pubmed.ncbi.nlm.nih.gov/33743696"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-021-01471-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-021-01471-4","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-021-01471-4","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-021-01471-4","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5107926329","display_name":"Xuchun Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I17721919","display_name":"Shanxi Medical University","ror":"https://ror.org/0265d1010","country_code":"CN","type":"education","lineage":["https://openalex.org/I17721919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuchun Wang","raw_affiliation_strings":["Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China","institution_ids":["https://openalex.org/I17721919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008646383","display_name":"Mengmeng Zhai","orcid":null},"institutions":[{"id":"https://openalex.org/I17721919","display_name":"Shanxi Medical University","ror":"https://ror.org/0265d1010","country_code":"CN","type":"education","lineage":["https://openalex.org/I17721919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengmeng Zhai","raw_affiliation_strings":["Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China","institution_ids":["https://openalex.org/I17721919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067370939","display_name":"Zeping Ren","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zeping Ren","raw_affiliation_strings":["Shanxi Centre for Disease Control and Prevention, Taiyuan, 030012, Shanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanxi Centre for Disease Control and Prevention, Taiyuan, 030012, Shanxi, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101591244","display_name":"Hao Ren","orcid":"https://orcid.org/0000-0003-1127-4608"},"institutions":[{"id":"https://openalex.org/I17721919","display_name":"Shanxi Medical University","ror":"https://ror.org/0265d1010","country_code":"CN","type":"education","lineage":["https://openalex.org/I17721919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Ren","raw_affiliation_strings":["Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China","institution_ids":["https://openalex.org/I17721919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103238354","display_name":"Meichen Li","orcid":"https://orcid.org/0000-0003-3201-045X"},"institutions":[{"id":"https://openalex.org/I17721919","display_name":"Shanxi Medical University","ror":"https://ror.org/0265d1010","country_code":"CN","type":"education","lineage":["https://openalex.org/I17721919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meichen Li","raw_affiliation_strings":["Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China","institution_ids":["https://openalex.org/I17721919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054228211","display_name":"Dichen Quan","orcid":null},"institutions":[{"id":"https://openalex.org/I17721919","display_name":"Shanxi Medical University","ror":"https://ror.org/0265d1010","country_code":"CN","type":"education","lineage":["https://openalex.org/I17721919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dichen Quan","raw_affiliation_strings":["Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China","institution_ids":["https://openalex.org/I17721919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100670781","display_name":"Limin Chen","orcid":"https://orcid.org/0000-0001-8022-5565"},"institutions":[{"id":"https://openalex.org/I17721919","display_name":"Shanxi Medical University","ror":"https://ror.org/0265d1010","country_code":"CN","type":"education","lineage":["https://openalex.org/I17721919"]},{"id":"https://openalex.org/I4210106396","display_name":"Shanxi Province Hospital of Traditional Chinese Medicine","ror":"https://ror.org/01m06ya33","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210106396"]},{"id":"https://openalex.org/I4210160763","display_name":"Shanxi Provincial People\u2019s Hospital","ror":"https://ror.org/057ckzt47","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I17721919","https://openalex.org/I4210160763"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Limin Chen","raw_affiliation_strings":["Shanxi Provincial People's Hospital, Taiyuan City, Shanxi Province, China. sxchenlimin@163.com","Shanxi Provincial People's Hospital, Taiyuan City, Shanxi Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanxi Provincial People's Hospital, Taiyuan City, Shanxi Province, China. sxchenlimin@163.com","institution_ids":["https://openalex.org/I17721919","https://openalex.org/I4210106396","https://openalex.org/I4210160763"]},{"raw_affiliation_string":"Shanxi Provincial People's Hospital, Taiyuan City, Shanxi Province, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101876797","display_name":"Lixia Qiu","orcid":"https://orcid.org/0000-0003-4705-878X"},"institutions":[{"id":"https://openalex.org/I17721919","display_name":"Shanxi Medical University","ror":"https://ror.org/0265d1010","country_code":"CN","type":"education","lineage":["https://openalex.org/I17721919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lixia Qiu","raw_affiliation_strings":["Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China. qlx_1126@163.com","Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China"],"raw_orcid":"https://orcid.org/0000-0003-4705-878X","affiliations":[{"raw_affiliation_string":"Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China. qlx_1126@163.com","institution_ids":["https://openalex.org/I17721919"]},{"raw_affiliation_string":"Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China","institution_ids":["https://openalex.org/I17721919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100670781"],"corresponding_institution_ids":["https://openalex.org/I17721919","https://openalex.org/I4210106396","https://openalex.org/I4210160763"],"apc_list":{"value":1570,"currency":"GBP","value_usd":2690},"apc_paid":{"value":1570,"currency":"GBP","value_usd":2690},"fwci":15.4313,"has_fulltext":true,"cited_by_count":82,"citation_normalized_percentile":{"value":0.98942026,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"21","issue":"1","first_page":"105","last_page":"105"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.8669000267982483,"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":0.8669000267982483,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.026599999517202377,"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/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.005900000222027302,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative 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/random-forest","display_name":"Random forest","score":0.8592954277992249},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6993722915649414},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6635051965713501},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5733098387718201},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.5331869125366211},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5079413056373596},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49667125940322876},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.45011767745018005},{"id":"https://openalex.org/keywords/f1-score","display_name":"F1 score","score":0.4461032748222351},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.44117945432662964},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4407764673233032},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38913342356681824},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36104416847229004}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.8592954277992249},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6993722915649414},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6635051965713501},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5733098387718201},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5331869125366211},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5079413056373596},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49667125940322876},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.45011767745018005},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.4461032748222351},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.44117945432662964},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4407764673233032},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38913342356681824},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36104416847229004}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003920","descriptor_name":"Diabetes Mellitus","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D003920","descriptor_name":"Diabetes Mellitus","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D003920","descriptor_name":"Diabetes Mellitus","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D003920","descriptor_name":"Diabetes Mellitus","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D003920","descriptor_name":"Diabetes Mellitus","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D003920","descriptor_name":"Diabetes Mellitus","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","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":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12911-021-01471-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-021-01471-4","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-021-01471-4","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},{"id":"pmid:33743696","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33743696","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,"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":"BMC medical informatics and decision making","raw_type":null},{"id":"pmh:oai:doaj.org/article:d0cb078fa94f4a7ba08add5a2fc16da1","is_oa":true,"landing_page_url":"https://doaj.org/article/d0cb078fa94f4a7ba08add5a2fc16da1","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":"BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-14 (2021)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7980612","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7980612","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,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Inform Decis Mak","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12911-021-01471-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-021-01471-4","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-021-01471-4","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.6000000238418579,"display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G6457751247","display_name":null,"funder_award_id":"81973155","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"},{"id":"https://openalex.org/F4320325200","display_name":"Shanxi Medical University","ror":"https://ror.org/0265d1010"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3136662390.pdf","grobid_xml":"https://content.openalex.org/works/W3136662390.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W1472067","https://openalex.org/W807187018","https://openalex.org/W866418369","https://openalex.org/W1496929357","https://openalex.org/W1974079881","https://openalex.org/W1986515506","https://openalex.org/W2016603580","https://openalex.org/W2024623357","https://openalex.org/W2042748370","https://openalex.org/W2052611008","https://openalex.org/W2057400233","https://openalex.org/W2060977363","https://openalex.org/W2068250128","https://openalex.org/W2070493638","https://openalex.org/W2070808135","https://openalex.org/W2074888575","https://openalex.org/W2089564362","https://openalex.org/W2091007025","https://openalex.org/W2099454382","https://openalex.org/W2112005039","https://openalex.org/W2114651828","https://openalex.org/W2121866145","https://openalex.org/W2135046866","https://openalex.org/W2148143831","https://openalex.org/W2151701113","https://openalex.org/W2156280121","https://openalex.org/W2156909104","https://openalex.org/W2157402278","https://openalex.org/W2158822657","https://openalex.org/W2162146932","https://openalex.org/W2168508521","https://openalex.org/W2194079679","https://openalex.org/W2216570745","https://openalex.org/W2411766224","https://openalex.org/W2475055502","https://openalex.org/W2516242839","https://openalex.org/W2516650098","https://openalex.org/W2531360867","https://openalex.org/W2551135830","https://openalex.org/W2745461802","https://openalex.org/W2769391043","https://openalex.org/W2789732774","https://openalex.org/W2804586924","https://openalex.org/W2953216366","https://openalex.org/W2953497563","https://openalex.org/W2991104067","https://openalex.org/W2994958138","https://openalex.org/W2996905278","https://openalex.org/W3029811169","https://openalex.org/W3045564663","https://openalex.org/W3132703138","https://openalex.org/W3152356936","https://openalex.org/W4239944110"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W4388745254","https://openalex.org/W2889302474","https://openalex.org/W2980082554","https://openalex.org/W1517228774","https://openalex.org/W2767419625","https://openalex.org/W2389704471","https://openalex.org/W20047544","https://openalex.org/W4402437224"],"abstract_inverted_index":{"BACKGROUND:":[0],"Diabetes":[1],"Mellitus":[2],"(DM)":[3],"has":[4,21],"become":[5,22],"the":[6,25,31,58,74,103,119,144,149,152,158,188,200,205,225,258,263],"third":[7],"chronic":[8],"non-communicable":[9],"disease":[10],"that":[11],"hits":[12],"patients":[13],"after":[14],"tumors,":[15],"cardiovascular":[16],"and":[17,20,64,90,99,111,116,139,167,222,242],"cerebrovascular":[18],"diseases,":[19],"one":[23],"of":[24,36,60,68,76,118,122,151,197,210,213,253,273],"major":[26],"public":[27],"health":[28],"problems":[29],"in":[30,47,249,262],"world.":[32],"Therefore,":[33],"it":[34],"is":[35],"great":[37],"importance":[38],"to":[39,49,101,147,157,191],"identify":[40],"individuals":[41],"at":[42,57,194],"high":[43,65,195],"risk":[44,196],"for":[45,53,208,270],"DM":[46,254],"order":[48],"establish":[50],"prevention":[51],"strategies":[52],"DM.":[54,198,214,274],"METHODS:":[55],"Aiming":[56],"problem":[59,75],"high-dimensional":[61],"feature":[62,66,92,169,244],"space":[63],"redundancy":[67],"medical":[69],"data,":[70],"as":[71,73,143],"well":[72],"data":[77,107,129],"imbalance":[78],"often":[79],"faced.":[80],"This":[81],"study":[82,264],"explored":[83],"different":[84],"supervised":[85,124],"classifiers,":[86],"combined":[87,201,259],"with":[88,108,240],"SVM-SMOTE":[89,164,241],"two":[91],"dimensionality":[93],"reduction":[94,245],"methods":[95],"(Logistic":[96],"stepwise":[97],"regression":[98],"LAASO)":[100],"classify":[102],"diabetes":[104],"survey":[105],"sample":[106],"unbalanced":[109],"categories":[110],"complex":[112],"related":[113],"factors.":[114],"Analysis":[115],"discussion":[117],"classification":[120,153,206],"results":[121],"4":[123,128],"classifiers":[125],"based":[126],"on":[127],"processing":[130],"methods.":[131],"Five":[132],"indicators":[133,146],"including":[134],"Accuracy,":[135],"Precision,":[136],"Recall,":[137],"F1-Score":[138,181],"AUC":[140,184],"are":[141,224],"selected":[142],"key":[145],"evaluate":[148],"performance":[150,207],"model.":[154],"RESULTS:":[155],"According":[156],"result,":[159],"Random":[160,236],"Forest":[161,237],"Classifier":[162,238],"combining":[163,239],"resampling":[165],"technology":[166],"LASSO":[168,243],"screening":[170,272],"method":[171,246,260],"(Accuracy":[172],"=":[173,176,179,182,185],"0.890,":[174],"Precision":[175],"0.869,":[177],"Recall":[178],"0.919,":[180],"0.893,":[183],"0.948)":[186],"proved":[187],"best":[189,248],"way":[190],"tell":[192],"those":[193],"Besides,":[199],"algorithm":[202],"helps":[203],"enhance":[204],"prediction":[209],"high-risk":[211,251],"people":[212,252],"Also,":[215],"age,":[216],"region,":[217],"heart":[218],"rate,":[219],"hypertension,":[220],"hyperlipidemia":[221],"BMI":[223],"top":[226],"six":[227],"most":[228],"critical":[229],"characteristic":[230],"variables":[231],"affecting":[232],"diabetes.":[233],"CONCLUSIONS:":[234],"The":[235],"perform":[247],"identifying":[250],"from":[255],"individuals.":[256],"And":[257],"proposed":[261],"would":[265],"be":[266],"a":[267],"good":[268],"tool":[269],"early":[271]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":4}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
