{"id":"https://openalex.org/W1989374147","doi":"https://doi.org/10.1109/isda.2011.6121775","title":"Prospective evaluation of logistic regression models from overnight oximetry to assist in sleep apnea diagnosis","display_name":"Prospective evaluation of logistic regression models from overnight oximetry to assist in sleep apnea diagnosis","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W1989374147","doi":"https://doi.org/10.1109/isda.2011.6121775","mag":"1989374147"},"language":"en","primary_location":{"id":"doi:10.1109/isda.2011.6121775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2011.6121775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 11th International Conference on Intelligent Systems Design and Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005396204","display_name":"Daniel \u00c1lvarez","orcid":"https://orcid.org/0000-0003-1027-2395"},"institutions":[{"id":"https://openalex.org/I108103353","display_name":"Universidad de Valladolid","ror":"https://ror.org/01fvbaw18","country_code":"ES","type":"education","lineage":["https://openalex.org/I108103353"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Daniel Alvarez","raw_affiliation_strings":["Biomedical Engineering Group (GIB), University of Valladolid, Valladolid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical Engineering Group (GIB), University of Valladolid, Valladolid, Spain","institution_ids":["https://openalex.org/I108103353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043513390","display_name":"Roberto Hornero","orcid":"https://orcid.org/0000-0001-9915-2570"},"institutions":[{"id":"https://openalex.org/I108103353","display_name":"Universidad de Valladolid","ror":"https://ror.org/01fvbaw18","country_code":"ES","type":"education","lineage":["https://openalex.org/I108103353"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Roberto Hornero","raw_affiliation_strings":["Biomedical Engineering Group (GIB), University of Valladolid, Valladolid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical Engineering Group (GIB), University of Valladolid, Valladolid, Spain","institution_ids":["https://openalex.org/I108103353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085968311","display_name":"J. V\u00edctor Marcos","orcid":"https://orcid.org/0000-0002-5723-4495"},"institutions":[{"id":"https://openalex.org/I108103353","display_name":"Universidad de Valladolid","ror":"https://ror.org/01fvbaw18","country_code":"ES","type":"education","lineage":["https://openalex.org/I108103353"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J. Victor Marcos","raw_affiliation_strings":["Biomedical Engineering Group (GIB), University of Valladolid, Valladolid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical Engineering Group (GIB), University of Valladolid, Valladolid, Spain","institution_ids":["https://openalex.org/I108103353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058492122","display_name":"Thomas Penzel","orcid":"https://orcid.org/0000-0002-4304-0112"},"institutions":[{"id":"https://openalex.org/I7877124","display_name":"Charit\u00e9 - Universit\u00e4tsmedizin Berlin","ror":"https://ror.org/001w7jn25","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I7877124"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Penzel","raw_affiliation_strings":["Center of Sleep Research, Charit\u00e9 Universit\u00e4tsmedizin Berlin, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center of Sleep Research, Charit\u00e9 Universit\u00e4tsmedizin Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I7877124"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Felix del Campo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158107","display_name":"Hospital Universitario R\u00edo Hortega","ror":"https://ror.org/05jk45963","country_code":"ES","type":"healthcare","lineage":["https://openalex.org/I4210158107"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Felix del Campo","raw_affiliation_strings":["Department of Pneumology, Hospital Universitario P\u00edo del R\u00edo Hortega, Valladolid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pneumology, Hospital Universitario P\u00edo del R\u00edo Hortega, Valladolid, Spain","institution_ids":["https://openalex.org/I4210158107"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073049601","display_name":"Niels Wessel","orcid":"https://orcid.org/0000-0003-0922-9971"},"institutions":[{"id":"https://openalex.org/I39343248","display_name":"Humboldt-Universit\u00e4t zu Berlin","ror":"https://ror.org/01hcx6992","country_code":"DE","type":"education","lineage":["https://openalex.org/I39343248"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Niels Wessel","raw_affiliation_strings":["Cardiovascular Physics, Humboldt-Universit\u00e4t zu Berlin, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cardiovascular Physics, Humboldt-Universit\u00e4t zu Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I39343248"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.09460695,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"920","last_page":"924"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10234","display_name":"Obstructive Sleep Apnea Research","score":1.0,"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":1.0,"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/T11456","display_name":"Neuroscience of respiration and sleep","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/2807","display_name":"Endocrine and Autonomic Systems"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9653000235557556,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.8038089275360107},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7611507177352905},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.6463104486465454},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6032397150993347},{"id":"https://openalex.org/keywords/stepwise-regression","display_name":"Stepwise regression","score":0.5950300097465515},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5893948674201965},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5392864942550659},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5105786919593811},{"id":"https://openalex.org/keywords/sleep-apnea","display_name":"Sleep apnea","score":0.4665493667125702},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4277246594429016},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39909741282463074},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37978535890579224},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3454306125640869},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.14718177914619446}],"concepts":[{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.8038089275360107},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7611507177352905},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.6463104486465454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6032397150993347},{"id":"https://openalex.org/C170964787","wikidata":"https://www.wikidata.org/wiki/Q7611170","display_name":"Stepwise regression","level":2,"score":0.5950300097465515},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5893948674201965},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5392864942550659},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5105786919593811},{"id":"https://openalex.org/C2777935920","wikidata":"https://www.wikidata.org/wiki/Q213600","display_name":"Sleep apnea","level":2,"score":0.4665493667125702},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4277246594429016},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39909741282463074},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37978535890579224},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3454306125640869},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.14718177914619446},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isda.2011.6121775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2011.6121775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 11th International Conference on Intelligent Systems Design and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1862394037","https://openalex.org/W1973948212","https://openalex.org/W1993546698","https://openalex.org/W2008060812","https://openalex.org/W2013405048","https://openalex.org/W2037821910","https://openalex.org/W2041677865","https://openalex.org/W2057023498","https://openalex.org/W2076327188","https://openalex.org/W2077410237","https://openalex.org/W2089180834","https://openalex.org/W2108084237","https://openalex.org/W2116496903","https://openalex.org/W2124630796","https://openalex.org/W2129525244","https://openalex.org/W2138575161","https://openalex.org/W2164101925","https://openalex.org/W2167597278","https://openalex.org/W2894120069","https://openalex.org/W3148116038","https://openalex.org/W4237609164","https://openalex.org/W4298222310","https://openalex.org/W6793340156"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W4388745254","https://openalex.org/W2980082554","https://openalex.org/W1517228774","https://openalex.org/W2767419625","https://openalex.org/W2389704471","https://openalex.org/W2117019857","https://openalex.org/W4363647452"],"abstract_inverted_index":{"This":[0],"study":[1],"focused":[2],"on":[3,108,146,175,181],"prospectively":[4],"testing":[5],"diagnostic":[6],"performance":[7,72,133],"of":[8,17,74,88,94,112,134,167,173],"different":[9],"logistic":[10,59],"regression":[11,60],"(LR)":[12],"models":[13,137],"in":[14,140,149,164],"the":[15,53,141,150,154,165,176,182],"context":[16,166],"sleep":[18,130],"apnea":[19],"hypopnea":[20],"syndrome":[21],"(SAHS)":[22],"detection":[23],"from":[24,82,91,96,115,122,127,138],"blood":[25],"oxygen":[26],"saturation":[27],"(SaO":[28],"<sub":[29],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[30],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sub>":[31],")":[32],"recordings.":[33],"Feature":[34],"extraction,":[35],"selection":[36],"and":[37,45,77,119,179],"classification":[38,73],"procedures":[39],"were":[40,48,105],"applied.":[41],"Time,":[42],"frequency,":[43],"linear":[44],"nonlinear":[46],"analyses":[47],"carried":[49],"out":[50],"to":[51,70,100],"compose":[52],"initial":[54],"feature":[55,65,80],"set.":[56,152,184],"Forward":[57],"stepwise":[58],"(FSLR)":[61],"was":[62,68,98],"applied":[63],"for":[64],"selection.":[66],"LR":[67,102,136,162],"used":[69,99],"measure":[71],"single":[75],"features":[76],"an":[78,128,171],"optimum":[79],"subset":[81],"FSLR.":[83],"A":[84],"training":[85,142,177],"set":[86,143,178],"composed":[87,111],"148":[89],"recordings":[90,114,121],"patients":[92],"suspected":[93],"suffering":[95],"SAHS":[97,123],"obtain":[101],"models,":[103],"which":[104,169],"further":[106,147],"validated":[107],"a":[109,159],"dataset":[110],"50":[113],"normal":[116],"healthy":[117],"subjects":[118],"21":[120],"patients,":[124],"all":[125],"derived":[126],"independent":[129],"unit.":[131],"Diagnostic":[132],"one-feature":[135],"oximetry":[139],"significantly":[144],"changed":[145],"assessments":[148],"test":[151,183],"On":[153],"other":[155],"hand,":[156],"FSLR":[157],"provided":[158],"more":[160],"general":[161],"model":[163],"SAHS,":[168],"reached":[170],"accuracy":[172],"89.7%":[174],"87.3%":[180]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}