{"id":"https://openalex.org/W2927235903","doi":"https://doi.org/10.1186/s12911-019-0790-3","title":"Accurate and rapid screening model for potential diabetes mellitus","display_name":"Accurate and rapid screening model for potential diabetes mellitus","publication_year":2019,"publication_date":"2019-03-12","ids":{"openalex":"https://openalex.org/W2927235903","doi":"https://doi.org/10.1186/s12911-019-0790-3","mag":"2927235903","pmid":"https://pubmed.ncbi.nlm.nih.gov/30866905"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-019-0790-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-019-0790-3","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-019-0790-3","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":null,"license_id":null,"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/track/pdf/10.1186/s12911-019-0790-3","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007666694","display_name":"Dongmei Pei","orcid":"https://orcid.org/0000-0002-1947-4447"},"institutions":[{"id":"https://openalex.org/I91656880","display_name":"China Medical University","ror":"https://ror.org/032d4f246","country_code":"CN","type":"education","lineage":["https://openalex.org/I91656880"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongmei Pei","raw_affiliation_strings":["Department of Family Medicine, Shengjing Hospital, China Medical University, Shenyang, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Family Medicine, Shengjing Hospital, China Medical University, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I91656880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026991814","display_name":"Yang Gong","orcid":"https://orcid.org/0000-0002-0864-8368"},"institutions":[{"id":"https://openalex.org/I919571938","display_name":"The University of Texas Health Science Center at Houston","ror":"https://ror.org/03gds6c39","country_code":"US","type":"education","lineage":["https://openalex.org/I919571938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Gong","raw_affiliation_strings":["University of Texas Health Science Center at Houston, Houston, Texas, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas Health Science Center at Houston, Houston, Texas, USA","institution_ids":["https://openalex.org/I919571938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066283915","display_name":"Hong Kang","orcid":"https://orcid.org/0000-0003-2526-6609"},"institutions":[{"id":"https://openalex.org/I919571938","display_name":"The University of Texas Health Science Center at Houston","ror":"https://ror.org/03gds6c39","country_code":"US","type":"education","lineage":["https://openalex.org/I919571938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hong Kang","raw_affiliation_strings":["University of Texas Health Science Center at Houston, Houston, Texas, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas Health Science Center at Houston, Houston, Texas, USA","institution_ids":["https://openalex.org/I919571938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040401845","display_name":"Chengpu Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I91656880","display_name":"China Medical University","ror":"https://ror.org/032d4f246","country_code":"CN","type":"education","lineage":["https://openalex.org/I91656880"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengpu Zhang","raw_affiliation_strings":["Department of Family Medicine, Shengjing Hospital, China Medical University, Shenyang, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Family Medicine, Shengjing Hospital, China Medical University, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I91656880"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008095732","display_name":"Qiyong Guo","orcid":"https://orcid.org/0000-0002-6399-6613"},"institutions":[{"id":"https://openalex.org/I91656880","display_name":"China Medical University","ror":"https://ror.org/032d4f246","country_code":"CN","type":"education","lineage":["https://openalex.org/I91656880"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiyong Guo","raw_affiliation_strings":["Department of radiology, Shengjing Hospital, China Medical University, Shenyang, Liaoning, China. guoqy1111@hotmail.com","Department of radiology, Shengjing Hospital, China Medical University, Shenyang, Liaoning, China"],"raw_orcid":"https://orcid.org/0000-0002-6399-6613","affiliations":[{"raw_affiliation_string":"Department of radiology, Shengjing Hospital, China Medical University, Shenyang, Liaoning, China. guoqy1111@hotmail.com","institution_ids":["https://openalex.org/I91656880"]},{"raw_affiliation_string":"Department of radiology, Shengjing Hospital, China Medical University, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I91656880"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5008095732"],"corresponding_institution_ids":["https://openalex.org/I91656880"],"apc_list":{"value":1570,"currency":"GBP","value_usd":1925},"apc_paid":{"value":1570,"currency":"GBP","value_usd":1925},"fwci":6.9988,"has_fulltext":true,"cited_by_count":35,"citation_normalized_percentile":{"value":0.9668015,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"19","issue":"1","first_page":"41","last_page":"41"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9093999862670898,"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":0.9093999862670898,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.011099999770522118,"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/T10027","display_name":"Diabetes, Cardiovascular Risks, and Lipoproteins","score":0.006899999920278788,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"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/medicine","display_name":"Medicine","score":0.755976676940918},{"id":"https://openalex.org/keywords/c4.5-algorithm","display_name":"C4.5 algorithm","score":0.7516746520996094},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.6996026635169983},{"id":"https://openalex.org/keywords/family-history","display_name":"Family history","score":0.6523175239562988},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.500171422958374},{"id":"https://openalex.org/keywords/body-mass-index","display_name":"Body mass index","score":0.49797582626342773},{"id":"https://openalex.org/keywords/medical-history","display_name":"Medical history","score":0.4381265640258789},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4337655007839203},{"id":"https://openalex.org/keywords/physical-therapy","display_name":"Physical therapy","score":0.34128251671791077},{"id":"https://openalex.org/keywords/gerontology","display_name":"Gerontology","score":0.3254525065422058},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.3033040165901184},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.20836055278778076},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20333093404769897},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.15351101756095886},{"id":"https://openalex.org/keywords/endocrinology","display_name":"Endocrinology","score":0.12583965063095093}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.755976676940918},{"id":"https://openalex.org/C52003472","wikidata":"https://www.wikidata.org/wiki/Q1022655","display_name":"C4.5 algorithm","level":4,"score":0.7516746520996094},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.6996026635169983},{"id":"https://openalex.org/C2781179581","wikidata":"https://www.wikidata.org/wiki/Q2857712","display_name":"Family history","level":2,"score":0.6523175239562988},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.500171422958374},{"id":"https://openalex.org/C2780221984","wikidata":"https://www.wikidata.org/wiki/Q131191","display_name":"Body mass index","level":2,"score":0.49797582626342773},{"id":"https://openalex.org/C206179267","wikidata":"https://www.wikidata.org/wiki/Q188952","display_name":"Medical history","level":2,"score":0.4381265640258789},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4337655007839203},{"id":"https://openalex.org/C1862650","wikidata":"https://www.wikidata.org/wiki/Q186005","display_name":"Physical therapy","level":1,"score":0.34128251671791077},{"id":"https://openalex.org/C74909509","wikidata":"https://www.wikidata.org/wiki/Q10387","display_name":"Gerontology","level":1,"score":0.3254525065422058},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.3033040165901184},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.20836055278778076},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20333093404769897},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.15351101756095886},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.12583965063095093},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000066491","descriptor_name":"Clinical Decision-Making","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000066491","descriptor_name":"Clinical Decision-Making","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000066491","descriptor_name":"Clinical Decision-Making","qualifier_ui":null,"qualifier_name":null,"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":"D002681","descriptor_name":"China","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003661","descriptor_name":"Decision Support Techniques","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003661","descriptor_name":"Decision Support Techniques","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003661","descriptor_name":"Decision Support Techniques","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003663","descriptor_name":"Decision Trees","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003663","descriptor_name":"Decision Trees","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003663","descriptor_name":"Decision Trees","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003920","descriptor_name":"Diabetes Mellitus","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D003920","descriptor_name":"Diabetes Mellitus","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D003920","descriptor_name":"Diabetes Mellitus","qualifier_ui":"Q000175","qualifier_name":"diagnosis","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":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","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":"D042241","descriptor_name":"Early Diagnosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D042241","descriptor_name":"Early Diagnosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D042241","descriptor_name":"Early Diagnosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12911-019-0790-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-019-0790-3","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-019-0790-3","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},{"id":"pmid:30866905","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30866905","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:21d9eaa914764cf9b5a12b02a0c82bae","is_oa":true,"landing_page_url":"https://doaj.org/article/21d9eaa914764cf9b5a12b02a0c82bae","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 19, Iss 1, Pp 1-8 (2019)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:5413381","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6416888","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12911-019-0790-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-019-0790-3","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-019-0790-3","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":null,"license_id":null,"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/1","display_name":"No poverty","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G4048357070","display_name":null,"funder_award_id":"15-219","funder_id":"https://openalex.org/F4320306650","funder_display_name":"China Medical Board"}],"funders":[{"id":"https://openalex.org/F4320306650","display_name":"China Medical Board","ror":"https://ror.org/02jpa9x52"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2927235903.pdf","grobid_xml":"https://content.openalex.org/works/W2927235903.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W12612579","https://openalex.org/W110966172","https://openalex.org/W1816688868","https://openalex.org/W1951701150","https://openalex.org/W1964227153","https://openalex.org/W1967012870","https://openalex.org/W1968339465","https://openalex.org/W1970384675","https://openalex.org/W1971967573","https://openalex.org/W1989507768","https://openalex.org/W2002455669","https://openalex.org/W2005142741","https://openalex.org/W2007884592","https://openalex.org/W2025647920","https://openalex.org/W2032048326","https://openalex.org/W2039657876","https://openalex.org/W2054144613","https://openalex.org/W2068636224","https://openalex.org/W2097453405","https://openalex.org/W2108222403","https://openalex.org/W2117057656","https://openalex.org/W2119315254","https://openalex.org/W2130574277","https://openalex.org/W2131414141","https://openalex.org/W2132996843","https://openalex.org/W2133817343","https://openalex.org/W2147717040","https://openalex.org/W2149137195","https://openalex.org/W2151795182","https://openalex.org/W2162995595","https://openalex.org/W2170860972","https://openalex.org/W2276849971","https://openalex.org/W2288243100","https://openalex.org/W2332951586","https://openalex.org/W2466578202","https://openalex.org/W2538353315","https://openalex.org/W2555950988","https://openalex.org/W2736872388","https://openalex.org/W2742645578","https://openalex.org/W4289148042","https://openalex.org/W6696369443"],"related_works":["https://openalex.org/W2997511728","https://openalex.org/W4214653893","https://openalex.org/W2149097950","https://openalex.org/W4214491888","https://openalex.org/W2756012949","https://openalex.org/W3096006032","https://openalex.org/W2313958768","https://openalex.org/W3003508951","https://openalex.org/W3124731355","https://openalex.org/W3036853918"],"abstract_inverted_index":{"BACKGROUND:":[0],"Prediction":[1],"or":[2,62,178],"early":[3,195,254],"diagnosis":[4,256],"of":[5,14,24,59,66,78,95,161,175,232],"diabetes":[6,40,114,196,244,255],"is":[7,152],"crucial":[8],"for":[9,89,113,194,201,229],"populations":[10],"with":[11,39,213],"high":[12,214],"risk":[13,197,216,231],"diabetes.":[15,233],"METHODS:":[16],"In":[17],"this":[18],"study,":[19],"we":[20],"assessed":[21],"the":[22,92,110,126,153,199,238,261],"ability":[23],"five":[25],"popular":[26],"classifiers":[27],"(J48,":[28],"AdaboostM1,":[29],"SMO,":[30],"Bayes":[31],"Net,":[32],"and":[33,45,72,141,173,217,221,257],"Na\u00efve":[34],"Bayes)":[35],"to":[36,108,191,225],"identify":[37,109],"individuals":[38,193],"based":[41],"on":[42,260],"nine":[43],"non-invasive":[44],"easily":[46],"obtained":[47,83],"clinical":[48,223],"features,":[49],"including":[50],"age,":[51],"gender,":[52,172],"body":[53],"mass":[54],"index":[55],"(BMI),":[56],"hypertension,":[57,171],"history":[58,65,160,174],"cardiovascular":[60,176],"disease":[61,177],"stroke,":[63],"family":[64,159],"diabetes,":[67,162],"physical":[68,86,169],"activity,":[69,170],"work":[70,163],"stress,":[71,164],"salty":[73,166],"food":[74,167],"preference.":[75],"A":[76],"total":[77],"4205":[79],"data":[80,103],"entries":[81],"were":[82],"from":[84],"annual":[85],"examination":[87],"reports":[88],"adults":[90],"in":[91,210,237],"Shengjing":[93],"Hospital":[94],"China":[96],"Medical":[97],"University":[98],"during":[99],"January-April":[100],"2017.":[101],"Weka":[102],"mining":[104],"software":[105],"was":[106],"used":[107],"best":[111,127],"algorithm":[112],"classification.":[115],"RESULTS:":[116],"The":[117,145,234],"results":[118],"indicate":[119],"that":[120,150,184],"decision":[121,146,185],"tree":[122,147,186,239],"classifier":[123],"J48":[124],"has":[125],"performance":[128],"(accuracy":[129],"=":[130,133,136,139,143],"0.9503,":[131],"precision":[132],"0.950,":[134,137],"recall":[135],"F-measure":[138],"0.948,":[140],"AUC":[142],"0.964).":[144],"structure":[148,240],"shows":[149,183],"age":[151],"most":[154],"significant":[155],"feature,":[156],"followed":[157],"by":[158],"BMI,":[165],"preference,":[168],"stroke.":[179],"CONCLUSIONS:":[180],"Our":[181],"study":[182],"analyses":[187],"can":[188,251],"be":[189,207],"applied":[190],"screen":[192,227],"without":[198],"need":[200],"invasive":[202],"tests.":[203],"This":[204],"procedure":[205],"will":[206],"particularly":[208],"useful":[209],"developing":[211],"regions":[212],"epidemiological":[215],"poor":[218],"socioeconomic":[219],"status,":[220],"enable":[222],"practitioners":[224],"rapidly":[226],"patients":[228],"increased":[230],"key":[235],"features":[236],"could":[241],"further":[242],"facilitate":[243],"prevention":[245],"through":[246],"targeted":[247],"community":[248],"interventions,":[249],"which":[250],"potentially":[252],"improve":[253],"reduce":[258],"burdens":[259],"healthcare":[262],"system.":[263]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}