{"id":"https://openalex.org/W4414545379","doi":"https://doi.org/10.1186/s12911-025-03189-z","title":"Developing an interpretable machine learning model for easily detecting insulin resistance among breast cancer survivors: a cross-sectional study","display_name":"Developing an interpretable machine learning model for easily detecting insulin resistance among breast cancer survivors: a cross-sectional study","publication_year":2025,"publication_date":"2025-09-26","ids":{"openalex":"https://openalex.org/W4414545379","doi":"https://doi.org/10.1186/s12911-025-03189-z","pmid":"https://pubmed.ncbi.nlm.nih.gov/41013410"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-025-03189-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-025-03189-z","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-03189-z","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","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/s12911-025-03189-z","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068075045","display_name":"Mengxia Fu","orcid":"https://orcid.org/0000-0002-6286-9233"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210133846","display_name":"Peking University International Hospital","ror":"https://ror.org/03jxhcr96","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210133846"]},{"id":"https://openalex.org/I4210154593","display_name":"Beijing Shijitan Hospital","ror":"https://ror.org/0569k1630","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210154593"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mengxia Fu","raw_affiliation_strings":["Galactophore Department, Galactophore Center, Beijing Shijitan Hospital, Capital Medical University, Tieyi Road 10, Beijing, 100038, China. fmx3973@bjsjth.cn","Department of Breast Surgery, Peking University International Hospital, Life Park Road No.1 Life Science Park, Beijing, 102206, China. fmx3973@bjsjth.cn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Galactophore Department, Galactophore Center, Beijing Shijitan Hospital, Capital Medical University, Tieyi Road 10, Beijing, 100038, China. fmx3973@bjsjth.cn","institution_ids":["https://openalex.org/I4210154593"]},{"raw_affiliation_string":"Department of Breast Surgery, Peking University International Hospital, Life Park Road No.1 Life Science Park, Beijing, 102206, China. fmx3973@bjsjth.cn","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210133846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061490360","display_name":"Zhiming Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]},{"id":"https://openalex.org/I2801228662","display_name":"Peking Union Medical College Hospital","ror":"https://ror.org/04jztag35","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2801228662"]},{"id":"https://openalex.org/I4210154593","display_name":"Beijing Shijitan Hospital","ror":"https://ror.org/0569k1630","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210154593"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiming Peng","raw_affiliation_strings":["Department of Orthopedics, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China","Galactophore Department, Galactophore Center, Beijing Shijitan Hospital, Capital Medical University, Tieyi Road 10, Beijing, 100038, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Orthopedics, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China","institution_ids":["https://openalex.org/I2801228662","https://openalex.org/I200296433"]},{"raw_affiliation_string":"Galactophore Department, Galactophore Center, Beijing Shijitan Hospital, Capital Medical University, Tieyi Road 10, Beijing, 100038, China","institution_ids":["https://openalex.org/I4210154593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012475436","display_name":"Yu Xue","orcid":"https://orcid.org/0000-0002-9069-7547"},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I2801228662","display_name":"Peking Union Medical College Hospital","ror":"https://ror.org/04jztag35","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2801228662"]},{"id":"https://openalex.org/I4210133846","display_name":"Peking University International Hospital","ror":"https://ror.org/03jxhcr96","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210133846"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Yu","raw_affiliation_strings":["Department of Breast Surgery, Peking University International Hospital, Life Park Road No.1 Life Science Park, Beijing, 102206, China","Department of Orthopedics, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Breast Surgery, Peking University International Hospital, Life Park Road No.1 Life Science Park, Beijing, 102206, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210133846"]},{"raw_affiliation_string":"Department of Orthopedics, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China","institution_ids":["https://openalex.org/I2801228662","https://openalex.org/I200296433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108829643","display_name":"Dapeng Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I4210154593","display_name":"Beijing Shijitan Hospital","ror":"https://ror.org/0569k1630","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210154593"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dapeng Lv","raw_affiliation_strings":["Galactophore Department, Galactophore Center, Beijing Shijitan Hospital, Capital Medical University, Tieyi Road 10, Beijing, 100038, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Galactophore Department, Galactophore Center, Beijing Shijitan Hospital, Capital Medical University, Tieyi Road 10, Beijing, 100038, China","institution_ids":["https://openalex.org/I4210154593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054920568","display_name":"Min\u2010Hsien Wu","orcid":"https://orcid.org/0000-0002-3507-3512"},"institutions":[{"id":"https://openalex.org/I4210154593","display_name":"Beijing Shijitan Hospital","ror":"https://ror.org/0569k1630","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210154593"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Wu","raw_affiliation_strings":["Galactophore Department, Galactophore Center, Beijing Shijitan Hospital, Capital Medical University, Tieyi Road 10, Beijing, 100038, China. wumin3736@bjsjth.cn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Galactophore Department, Galactophore Center, Beijing Shijitan Hospital, Capital Medical University, Tieyi Road 10, Beijing, 100038, China. wumin3736@bjsjth.cn","institution_ids":["https://openalex.org/I4210154593"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5068075045"],"corresponding_institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210133846","https://openalex.org/I4210154593"],"apc_list":{"value":1570,"currency":"GBP","value_usd":1925},"apc_paid":{"value":1570,"currency":"GBP","value_usd":1925},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34169155,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":"1","first_page":"341","last_page":"341"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12103","display_name":"Cancer Risks and Factors","score":0.7129999995231628,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12103","display_name":"Cancer Risks and Factors","score":0.7129999995231628,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T11339","display_name":"Metabolism, Diabetes, and Cancer","score":0.18629999458789825,"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"}},{"id":"https://openalex.org/T10397","display_name":"Nutrition and Health in Aging","score":0.025299999862909317,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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":0.6761000156402588},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.6725000143051147},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.623199999332428},{"id":"https://openalex.org/keywords/health-informatics","display_name":"Health informatics","score":0.5476999878883362},{"id":"https://openalex.org/keywords/insulin-resistance","display_name":"Insulin resistance","score":0.5152000188827515},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.44690001010894775},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.3806000053882599},{"id":"https://openalex.org/keywords/clinical-decision-support-system","display_name":"Clinical decision support system","score":0.34610000252723694}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.8209999799728394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7268000245094299},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6761000156402588},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.6725000143051147},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.623199999332428},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5903000235557556},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.5476999878883362},{"id":"https://openalex.org/C2777391703","wikidata":"https://www.wikidata.org/wiki/Q1053470","display_name":"Insulin resistance","level":3,"score":0.5152000188827515},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.44690001010894775},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4244999885559082},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3806000053882599},{"id":"https://openalex.org/C63527458","wikidata":"https://www.wikidata.org/wiki/Q5133829","display_name":"Clinical decision support system","level":3,"score":0.34610000252723694},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3276999890804291},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.32019999623298645},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.3149000108242035},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.3068000078201294},{"id":"https://openalex.org/C57473165","wikidata":"https://www.wikidata.org/wiki/Q7315604","display_name":"Resistance (ecology)","level":2,"score":0.29980000853538513},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.2978000044822693},{"id":"https://openalex.org/C191630685","wikidata":"https://www.wikidata.org/wiki/Q4027615","display_name":"Informatics","level":2,"score":0.2939999997615814},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.2937999963760376},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.27649998664855957},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.2741999924182892},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.2694000005722046},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.2687000036239624},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2630999982357025},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.2554999887943268}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000073116","descriptor_name":"Cancer Survivors","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D000073116","descriptor_name":"Cancer Survivors","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D000073116","descriptor_name":"Cancer Survivors","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D000073116","descriptor_name":"Cancer Survivors","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D000073116","descriptor_name":"Cancer Survivors","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D000073116","descriptor_name":"Cancer Survivors","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003430","descriptor_name":"Cross-Sectional Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003430","descriptor_name":"Cross-Sectional Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003430","descriptor_name":"Cross-Sectional Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003430","descriptor_name":"Cross-Sectional Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003430","descriptor_name":"Cross-Sectional Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003430","descriptor_name":"Cross-Sectional Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"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":"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":"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":"D007333","descriptor_name":"Insulin Resistance","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D007333","descriptor_name":"Insulin Resistance","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D007333","descriptor_name":"Insulin Resistance","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D007333","descriptor_name":"Insulin Resistance","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D007333","descriptor_name":"Insulin Resistance","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D007333","descriptor_name":"Insulin Resistance","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009749","descriptor_name":"Nutrition Surveys","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009749","descriptor_name":"Nutrition Surveys","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009749","descriptor_name":"Nutrition Surveys","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009749","descriptor_name":"Nutrition Surveys","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009749","descriptor_name":"Nutrition Surveys","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009749","descriptor_name":"Nutrition Surveys","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1186/s12911-025-03189-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-025-03189-z","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-03189-z","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},{"id":"pmid:41013410","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41013410","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:8cd00e03bb4b46958c436936f25473f4","is_oa":true,"landing_page_url":"https://doaj.org/article/8cd00e03bb4b46958c436936f25473f4","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 25, Iss 1, Pp 1-12 (2025)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:11274497","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12465519","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:12465519","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12465519/","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","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/s12911-025-03189-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-025-03189-z","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-03189-z","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414545379.pdf","grobid_xml":"https://content.openalex.org/works/W4414545379.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1979135402","https://openalex.org/W2038686627","https://openalex.org/W2087347434","https://openalex.org/W2096686828","https://openalex.org/W2157891776","https://openalex.org/W2160234571","https://openalex.org/W2164418602","https://openalex.org/W2171659715","https://openalex.org/W2295598076","https://openalex.org/W2601249191","https://openalex.org/W2607031541","https://openalex.org/W2770837559","https://openalex.org/W2789130259","https://openalex.org/W2795771650","https://openalex.org/W2807730951","https://openalex.org/W2890840903","https://openalex.org/W2911964244","https://openalex.org/W2915260803","https://openalex.org/W3021166574","https://openalex.org/W3131858067","https://openalex.org/W3213879794","https://openalex.org/W4200215705","https://openalex.org/W4205618158","https://openalex.org/W4206443144","https://openalex.org/W4281249286","https://openalex.org/W4281396150","https://openalex.org/W4283731063","https://openalex.org/W4285011087","https://openalex.org/W4362632572","https://openalex.org/W4390919342","https://openalex.org/W4390946922","https://openalex.org/W4402534796"],"related_works":[],"abstract_inverted_index":{"OBJECTIVE:":[0],"To":[1],"develop":[2],"and":[3,23,35,58,70,88,105,131,158,201,207,218,225],"validate":[4],"a":[5,64,71,196],"classification":[6,115,216],"model":[7],"for":[8,168],"insulin":[9,170,186,228],"resistance":[10,187,229],"in":[11,117,139,188,212,222,232],"female":[12,49],"individuals":[13,50,189,231],"who":[14,51,190],"have":[15,52,191],"survived":[16,53,192],"breast":[17,54,193],"cancer":[18,55,194],"using":[19,96,179],"easily":[20],"obtainable":[21],"clinical":[22,200],"demographic":[24,202],"features.":[25],"METHODS:":[26],"Data":[27],"were":[28,56,60,81],"obtained":[29],"from":[30],"the":[31,99,118,128,142,163,176],"U.S.":[32],"National":[33],"Health":[34],"Nutrition":[36],"Examination":[37],"Survey":[38],"(NHANES)":[39],"spanning":[40],"1999":[41],"to":[42,63,183],"March":[43],"2020.":[44],"A":[45],"total":[46],"of":[47,178,199,227],"340":[48],"included,":[57],"participants":[59],"randomly":[61],"assigned":[62],"training":[65],"set":[66,73,198],"(n":[67,74],"=":[68,75],"239)":[69],"testing":[72,119],"101).":[76],"Multiple":[77],"machine":[78,180],"learning":[79,181],"algorithms":[80,182],"trained,":[82],"including":[83],"Logistic":[84],"Regression,":[85],"Random":[86,129,205],"Forest,":[87],"Support":[89,132,208],"Vector":[90,133,209],"Machine.":[91],"Model":[92],"performance":[93,116,138,217],"was":[94],"evaluated":[95],"area":[97],"under":[98],"receiver":[100],"operating":[101],"characteristic":[102],"curve":[103,107],"(AUC)":[104],"decision":[106],"analysis":[108],"(DCA).":[109],"RESULTS:":[110],"All":[111],"models":[112,135],"demonstrated":[113],"strong":[114,215],"set,":[120],"with":[121,195],"AUC":[122],"values":[123],"exceeding":[124],"0.87.":[125],"Among":[126],"them,":[127],"Forest":[130,206],"Machine":[134,210],"showed":[136],"superior":[137],"DCA.":[140],"Of":[141],"seven":[143],"input":[144],"features-body":[145],"mass":[146],"index,":[147],"fasting":[148],"blood":[149,160],"glucose,":[150],"triglyceride,":[151],"HDL":[152],"cholesterol,":[153],"poverty":[154],"income":[155],"ratio,":[156],"race,":[157],"education-fasting":[159],"glucose":[161],"had":[162],"highest":[164],"positive":[165],"feature":[166],"importance":[167],"classifying":[169],"resistance.":[171],"CONCLUSIONS:":[172],"This":[173],"study":[174],"demonstrates":[175],"feasibility":[177],"accurately":[184],"predict":[185],"limited":[197],"variables.":[203],"The":[204],"models,":[211],"particular,":[213],"offer":[214],"may":[219],"support":[220],"clinicians":[221],"early":[223],"identification":[224],"management":[226],"among":[230],"this":[233],"high-risk":[234],"population.":[235]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
