{"id":"https://openalex.org/W4397029905","doi":"https://doi.org/10.3389/fdata.2024.1353469","title":"Development and application of a machine learning-based predictive model for obstructive sleep apnea screening","display_name":"Development and application of a machine learning-based predictive model for obstructive sleep apnea screening","publication_year":2024,"publication_date":"2024-05-16","ids":{"openalex":"https://openalex.org/W4397029905","doi":"https://doi.org/10.3389/fdata.2024.1353469","pmid":"https://pubmed.ncbi.nlm.nih.gov/38817683"},"language":"en","primary_location":{"id":"doi:10.3389/fdata.2024.1353469","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fdata.2024.1353469","pdf_url":"https://public-pages-files-2025.frontiersin.org/journals/big-data/articles/10.3389/fdata.2024.1353469/pdf","source":{"id":"https://openalex.org/S4210201220","display_name":"Frontiers in Big Data","issn_l":"2624-909X","issn":["2624-909X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://public-pages-files-2025.frontiersin.org/journals/big-data/articles/10.3389/fdata.2024.1353469/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100389874","display_name":"Kang Liu","orcid":"https://orcid.org/0000-0001-5516-5273"},"institutions":[{"id":"https://openalex.org/I177388780","display_name":"Xuzhou Medical College","ror":"https://ror.org/04fe7hy80","country_code":"CN","type":"education","lineage":["https://openalex.org/I177388780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang Liu","raw_affiliation_strings":["Department of Otolaryngology, Head and Neck Surgery, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Otolaryngology, Head and Neck Surgery, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China","institution_ids":["https://openalex.org/I177388780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104108135","display_name":"Shi Geng","orcid":null},"institutions":[{"id":"https://openalex.org/I177388780","display_name":"Xuzhou Medical College","ror":"https://ror.org/04fe7hy80","country_code":"CN","type":"education","lineage":["https://openalex.org/I177388780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi Geng","raw_affiliation_strings":["Artificial Intelligence Unit, Department of Medical Equipment Management, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Unit, Department of Medical Equipment Management, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China","institution_ids":["https://openalex.org/I177388780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109849062","display_name":"Ping Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I177388780","display_name":"Xuzhou Medical College","ror":"https://ror.org/04fe7hy80","country_code":"CN","type":"education","lineage":["https://openalex.org/I177388780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Shen","raw_affiliation_strings":["Department of Otolaryngology, Head and Neck Surgery, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Otolaryngology, Head and Neck Surgery, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China","institution_ids":["https://openalex.org/I177388780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102974557","display_name":"Lei Zhao","orcid":"https://orcid.org/0000-0003-2968-3223"},"institutions":[{"id":"https://openalex.org/I177388780","display_name":"Xuzhou Medical College","ror":"https://ror.org/04fe7hy80","country_code":"CN","type":"education","lineage":["https://openalex.org/I177388780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhao","raw_affiliation_strings":["Artificial Intelligence Unit, Department of Medical Equipment Management, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Unit, Department of Medical Equipment Management, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China","institution_ids":["https://openalex.org/I177388780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021132688","display_name":"Peng Zhou","orcid":"https://orcid.org/0009-0001-9182-8086"},"institutions":[{"id":"https://openalex.org/I177388780","display_name":"Xuzhou Medical College","ror":"https://ror.org/04fe7hy80","country_code":"CN","type":"education","lineage":["https://openalex.org/I177388780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Zhou","raw_affiliation_strings":["Department of Otolaryngology, Head and Neck Surgery, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Otolaryngology, Head and Neck Surgery, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China","institution_ids":["https://openalex.org/I177388780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100320339","display_name":"Wen Liu","orcid":"https://orcid.org/0000-0003-0532-9051"},"institutions":[{"id":"https://openalex.org/I177388780","display_name":"Xuzhou Medical College","ror":"https://ror.org/04fe7hy80","country_code":"CN","type":"education","lineage":["https://openalex.org/I177388780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wen Liu","raw_affiliation_strings":["Department of Otolaryngology, Head and Neck Surgery, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Otolaryngology, Head and Neck Surgery, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China","institution_ids":["https://openalex.org/I177388780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5021132688","https://openalex.org/A5100320339"],"corresponding_institution_ids":["https://openalex.org/I177388780"],"apc_list":{"value":1150,"currency":"USD","value_usd":1150},"apc_paid":{"value":1150,"currency":"USD","value_usd":1150},"fwci":4.4461,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.95533001,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"7","issue":null,"first_page":"1353469","last_page":"1353469"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10234","display_name":"Obstructive Sleep Apnea Research","score":0.9681000113487244,"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"}},"topics":[{"id":"https://openalex.org/T10234","display_name":"Obstructive Sleep Apnea Research","score":0.9681000113487244,"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"}},{"id":"https://openalex.org/T13027","display_name":"Applied Advanced Technologies","score":0.0017999999690800905,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12979","display_name":"Cardiovascular Disease and Adiposity","score":0.00139999995008111,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular 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/logistic-regression","display_name":"Logistic regression","score":0.6451306343078613},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5988948941230774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5886312127113342},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5790545344352722},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5768557786941528},{"id":"https://openalex.org/keywords/obstructive-sleep-apnea","display_name":"Obstructive sleep apnea","score":0.5745859146118164},{"id":"https://openalex.org/keywords/body-mass-index","display_name":"Body mass index","score":0.5391972064971924},{"id":"https://openalex.org/keywords/epworth-sleepiness-scale","display_name":"Epworth Sleepiness Scale","score":0.535226047039032},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.5336300730705261},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5126723051071167},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.4924941956996918},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.4756595492362976},{"id":"https://openalex.org/keywords/sleep-apnea","display_name":"Sleep apnea","score":0.46852418780326843},{"id":"https://openalex.org/keywords/univariate-analysis","display_name":"Univariate analysis","score":0.45613792538642883},{"id":"https://openalex.org/keywords/polysomnography","display_name":"Polysomnography","score":0.3773907721042633},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3643425703048706},{"id":"https://openalex.org/keywords/multivariate-analysis","display_name":"Multivariate analysis","score":0.2682347595691681},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.2414628267288208},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.21096959710121155},{"id":"https://openalex.org/keywords/apnea","display_name":"Apnea","score":0.20469006896018982}],"concepts":[{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.6451306343078613},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5988948941230774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5886312127113342},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5790545344352722},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5768557786941528},{"id":"https://openalex.org/C2776006263","wikidata":"https://www.wikidata.org/wiki/Q16606552","display_name":"Obstructive sleep apnea","level":2,"score":0.5745859146118164},{"id":"https://openalex.org/C2780221984","wikidata":"https://www.wikidata.org/wiki/Q131191","display_name":"Body mass index","level":2,"score":0.5391972064971924},{"id":"https://openalex.org/C2778664715","wikidata":"https://www.wikidata.org/wiki/Q1347756","display_name":"Epworth Sleepiness Scale","level":4,"score":0.535226047039032},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.5336300730705261},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5126723051071167},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.4924941956996918},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.4756595492362976},{"id":"https://openalex.org/C2777935920","wikidata":"https://www.wikidata.org/wiki/Q213600","display_name":"Sleep apnea","level":2,"score":0.46852418780326843},{"id":"https://openalex.org/C144301174","wikidata":"https://www.wikidata.org/wiki/Q7893852","display_name":"Univariate analysis","level":3,"score":0.45613792538642883},{"id":"https://openalex.org/C2778205975","wikidata":"https://www.wikidata.org/wiki/Q1754874","display_name":"Polysomnography","level":3,"score":0.3773907721042633},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3643425703048706},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.2682347595691681},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.2414628267288208},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.21096959710121155},{"id":"https://openalex.org/C2781326671","wikidata":"https://www.wikidata.org/wiki/Q754424","display_name":"Apnea","level":2,"score":0.20469006896018982}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/fdata.2024.1353469","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fdata.2024.1353469","pdf_url":"https://public-pages-files-2025.frontiersin.org/journals/big-data/articles/10.3389/fdata.2024.1353469/pdf","source":{"id":"https://openalex.org/S4210201220","display_name":"Frontiers in Big Data","issn_l":"2624-909X","issn":["2624-909X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Big Data","raw_type":"journal-article"},{"id":"pmid:38817683","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38817683","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":"Frontiers in big data","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11137315","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11137315","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11137315/pdf/fdata-07-1353469.pdf","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":"Front Big Data","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:d4433690183442288a8cb2245d911cf3","is_oa":true,"landing_page_url":"https://doaj.org/article/d4433690183442288a8cb2245d911cf3","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":"Frontiers in Big Data, Vol 7 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3389/fdata.2024.1353469","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fdata.2024.1353469","pdf_url":"https://public-pages-files-2025.frontiersin.org/journals/big-data/articles/10.3389/fdata.2024.1353469/pdf","source":{"id":"https://openalex.org/S4210201220","display_name":"Frontiers in Big Data","issn_l":"2624-909X","issn":["2624-909X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Big Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320327501","display_name":"Xuzhou Medical University","ror":"https://ror.org/04fe7hy80"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4397029905.pdf"},"referenced_works_count":84,"referenced_works":["https://openalex.org/W1581899275","https://openalex.org/W1997227248","https://openalex.org/W1997375338","https://openalex.org/W2001602698","https://openalex.org/W2060165223","https://openalex.org/W2079485496","https://openalex.org/W2098864100","https://openalex.org/W2121234672","https://openalex.org/W2135850427","https://openalex.org/W2165875136","https://openalex.org/W2259643878","https://openalex.org/W2299812349","https://openalex.org/W2316430701","https://openalex.org/W2332342438","https://openalex.org/W2430939771","https://openalex.org/W2483520518","https://openalex.org/W2495179661","https://openalex.org/W2517076933","https://openalex.org/W2517389691","https://openalex.org/W2529555766","https://openalex.org/W2549047171","https://openalex.org/W2592857683","https://openalex.org/W2611825236","https://openalex.org/W2612940703","https://openalex.org/W2621616560","https://openalex.org/W2748852875","https://openalex.org/W2749492625","https://openalex.org/W2884009675","https://openalex.org/W2898050226","https://openalex.org/W2902662000","https://openalex.org/W2908012161","https://openalex.org/W2911730075","https://openalex.org/W2914197217","https://openalex.org/W2955053048","https://openalex.org/W2959442417","https://openalex.org/W2972554565","https://openalex.org/W2976332861","https://openalex.org/W2993335305","https://openalex.org/W2999666603","https://openalex.org/W3007838231","https://openalex.org/W3007945801","https://openalex.org/W3009207988","https://openalex.org/W3015537361","https://openalex.org/W3021083477","https://openalex.org/W3027473410","https://openalex.org/W3048737435","https://openalex.org/W3049704679","https://openalex.org/W3084773983","https://openalex.org/W3106836958","https://openalex.org/W3108717672","https://openalex.org/W3109235605","https://openalex.org/W3126588155","https://openalex.org/W3133470659","https://openalex.org/W3134936147","https://openalex.org/W3142654793","https://openalex.org/W3143524146","https://openalex.org/W3143801205","https://openalex.org/W3153918538","https://openalex.org/W3174072953","https://openalex.org/W3184101951","https://openalex.org/W3200707343","https://openalex.org/W4214840588","https://openalex.org/W4221087353","https://openalex.org/W4224233095","https://openalex.org/W4226049722","https://openalex.org/W4226164775","https://openalex.org/W4281257164","https://openalex.org/W4285814847","https://openalex.org/W4290097533","https://openalex.org/W4291023040","https://openalex.org/W4294653685","https://openalex.org/W4308872185","https://openalex.org/W4310673793","https://openalex.org/W4311035337","https://openalex.org/W4317388187","https://openalex.org/W4317435648","https://openalex.org/W4318428414","https://openalex.org/W4323833205","https://openalex.org/W4366768437","https://openalex.org/W4375853669","https://openalex.org/W4387296852","https://openalex.org/W4387717516","https://openalex.org/W4388658707","https://openalex.org/W6777753068"],"related_works":["https://openalex.org/W3108300262","https://openalex.org/W2305578745","https://openalex.org/W4361802728","https://openalex.org/W4293771178","https://openalex.org/W2961105827","https://openalex.org/W2186336695","https://openalex.org/W2981623040","https://openalex.org/W2985785409","https://openalex.org/W2322198899","https://openalex.org/W2359190987"],"abstract_inverted_index":{"Objective:":[0],"To":[1],"develop":[2],"a":[3,58,129,159,195,205],"robust":[4],"machine":[5],"learning":[6],"prediction":[7,206,310],"model":[8,149,207,230],"for":[9,49,208,312,356],"the":[10,71,118,152,155,165,185,213,220,225,228,234,259,264,269,273,284,321,352],"automatic":[11],"screening":[12,209,317],"and":[13,41,53,81,100,117,125,171,184,191,247,256,295,302,316,333,348],"diagnosis":[14,52],"of":[15,61,74,240,272,283,324],"obstructive":[16],"sleep":[17],"apnea":[18],"(OSA)":[19],"using":[20,151],"five":[21,236,274,279],"advanced":[22],"algorithms,":[23],"namely":[24],"Extreme":[25],"Gradient":[26,37],"Boosting":[27,38],"(XGBoost),":[28],"Logistic":[29],"Regression":[30],"(LR),":[31],"Support":[32],"Vector":[33],"Machine":[34,39,308],"(SVM),":[35],"Light":[36],"(LightGBM),":[40],"Random":[42],"Forest":[43],"(RF)":[44],"to":[45,111,137,147,203,218,337],"provide":[46],"substantial":[47],"support":[48],"early":[50,322],"clinical":[51,62,363],"intervention.":[54],"Methods:":[55],"We":[56],"conducted":[57],"retrospective":[59],"analysis":[60,108,161,181],"data":[63],"from":[64],"439":[65],"patients":[66,172,325],"who":[67],"underwent":[68],"polysomnography":[69],"at":[70],"Affiliated":[72],"Hospital":[73],"Xuzhou":[75],"Medical":[76],"University":[77],"between":[78],"October":[79,82],"2019":[80],"2022.":[83],"Predictor":[84],"variables":[85,113],"such":[86],"as":[87,168,176,351],"demographic":[88],"information":[89],"[age,":[90],"sex,":[91,245],"height,":[92],"weight,":[93],"body":[94],"mass":[95],"index":[96],"(BMI)],":[97],"medical":[98],"history,":[99],"Epworth":[101],"Sleepiness":[102],"Scale":[103],"(ESS)":[104],"were":[105,288],"used.":[106],"Univariate":[107],"was":[109,120,135,145,162,182,187,201,216],"used":[110,146,202,217],"identify":[112],"with":[114,173,233,298,326],"significant":[115,261],"differences,":[116],"dataset":[119,186,366],"then":[121],"divided":[122,188],"into":[123,189],"training":[124,133,190,199],"validation":[126,143,192,214],"sets":[127,193],"in":[128,194,320,362],"4:1":[130,196],"ratio.":[131,197],"The":[132,142,178,198,277,365],"set":[134,144,200,215],"established":[136],"predict":[138],"OSA":[139,175,313],"severity":[140],"grading.":[141],"assess":[148],"performance":[150],"area":[153],"under":[154],"curve":[156],"(AUC).":[157],"Additionally,":[158],"separate":[160],"conducted,":[163],"categorizing":[164],"normal":[166],"population":[167],"one":[169],"group":[170],"moderate-to-severe":[174,210,327],"another.":[177],"same":[179],"univariate":[180],"applied,":[183],"build":[204],"OSA,":[211,328,358],"while":[212],"verify":[219],"model's":[221],"performance.":[222],"Results:":[223],"Among":[224],"four":[226],"groups,":[227],"LightGBM":[229],"outperformed":[231],"others,":[232],"top":[235,278],"feature":[237,281],"importance":[238,282],"rankings":[239],"ESS":[241,253,289,299,345],"total":[242,254,290,300,346],"score,":[243,291],"BMI,":[244,292],"hypertension,":[246],"gastroesophageal":[248],"reflux":[249],"(GERD),":[250],"where":[251],"Age,":[252],"score":[255,301,347],"BMI":[257,303,349],"played":[258],"most":[260,353],"roles.":[262],"In":[263],"dichotomous":[265],"model,":[266],"RF":[267,286],"is":[268],"best":[270],"performer":[271],"models":[275,287,311],"respectively.":[276],"ranked":[280],"best-performing":[285],"GERD,":[293],"age":[294],"Dry":[296],"mouth,":[297],"being":[304],"particularly":[305],"pivotal.":[306],"Conclusion:":[307],"learning-based":[309],"disease":[314],"grading":[315],"prove":[318],"instrumental":[319],"identification":[323],"revealing":[329],"pertinent":[330],"risk":[331],"factors":[332],"facilitating":[334],"timely":[335],"interventions":[336],"counter":[338],"pathological":[339],"changes":[340],"induced":[341],"by":[342],"OSA.":[343],"Notably,":[344],"emerge":[350],"critical":[354],"features":[355],"predicting":[357],"emphasizing":[359],"their":[360],"significance":[361],"assessments.":[364],"will":[367],"be":[368],"publicly":[369],"available":[370],"on":[371],"my":[372],"Github.":[373]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}
