{"id":"https://openalex.org/W3113611057","doi":"https://doi.org/10.1109/uemcon51285.2020.9298041","title":"SAS Mobile Application for Diagnosis of Obstructive Sleep Apnea Utilizing Machine Learning Models","display_name":"SAS Mobile Application for Diagnosis of Obstructive Sleep Apnea Utilizing Machine Learning Models","publication_year":2020,"publication_date":"2020-10-28","ids":{"openalex":"https://openalex.org/W3113611057","doi":"https://doi.org/10.1109/uemcon51285.2020.9298041","mag":"3113611057"},"language":"en","primary_location":{"id":"doi:10.1109/uemcon51285.2020.9298041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon51285.2020.9298041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","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/A5043501428","display_name":"Carl Haberfeld","orcid":null},"institutions":[{"id":"https://openalex.org/I35462925","display_name":"Southern Connecticut State University","ror":"https://ror.org/00ramkd50","country_code":"US","type":"education","lineage":["https://openalex.org/I35462925","https://openalex.org/I4210132746"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Carl Haberfeld","raw_affiliation_strings":["Southern Connecticut State University, New Haven, CT, USA"],"affiliations":[{"raw_affiliation_string":"Southern Connecticut State University, New Haven, CT, USA","institution_ids":["https://openalex.org/I35462925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012742956","display_name":"Alaa Sheta","orcid":"https://orcid.org/0000-0002-3727-6276"},"institutions":[{"id":"https://openalex.org/I35462925","display_name":"Southern Connecticut State University","ror":"https://ror.org/00ramkd50","country_code":"US","type":"education","lineage":["https://openalex.org/I35462925","https://openalex.org/I4210132746"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alaa Sheta","raw_affiliation_strings":["Southern Connecticut State University, New Haven, CT, USA"],"affiliations":[{"raw_affiliation_string":"Southern Connecticut State University, New Haven, CT, USA","institution_ids":["https://openalex.org/I35462925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069051415","display_name":"Md Shafaeat Hossain","orcid":"https://orcid.org/0000-0001-8009-370X"},"institutions":[{"id":"https://openalex.org/I35462925","display_name":"Southern Connecticut State University","ror":"https://ror.org/00ramkd50","country_code":"US","type":"education","lineage":["https://openalex.org/I35462925","https://openalex.org/I4210132746"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md Shafaeat Hossain","raw_affiliation_strings":["Southern Connecticut State University, New Haven, CT, USA"],"affiliations":[{"raw_affiliation_string":"Southern Connecticut State University, New Haven, CT, USA","institution_ids":["https://openalex.org/I35462925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070313706","display_name":"Hamza Turabieh","orcid":"https://orcid.org/0000-0002-8103-563X"},"institutions":[{"id":"https://openalex.org/I179331831","display_name":"Taif University","ror":"https://ror.org/014g1a453","country_code":"SA","type":"education","lineage":["https://openalex.org/I179331831"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Hamza Turabieh","raw_affiliation_strings":["Taif University, Taif, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Taif University, Taif, Saudi Arabia","institution_ids":["https://openalex.org/I179331831"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088511706","display_name":"Salim Surani","orcid":"https://orcid.org/0000-0001-7105-4266"},"institutions":[{"id":"https://openalex.org/I96749437","display_name":"Texas A&M University \u2013 Corpus Christi","ror":"https://ror.org/01mrfdz82","country_code":"US","type":"education","lineage":["https://openalex.org/I96749437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Salim Surani","raw_affiliation_strings":["Texas A&M University-Corpus Christi, TX, USA"],"affiliations":[{"raw_affiliation_string":"Texas A&M University-Corpus Christi, TX, USA","institution_ids":["https://openalex.org/I96749437"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5043501428"],"corresponding_institution_ids":["https://openalex.org/I35462925"],"apc_list":null,"apc_paid":null,"fwci":0.9595,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.75623179,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"0522","last_page":"0529"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10234","display_name":"Obstructive Sleep Apnea Research","score":0.9995999932289124,"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":0.9995999932289124,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9775000214576721,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10866","display_name":"Nutritional Studies and Diet","score":0.9623000025749207,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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/obstructive-sleep-apnea","display_name":"Obstructive sleep apnea","score":0.694773256778717},{"id":"https://openalex.org/keywords/waist","display_name":"Waist","score":0.6737167835235596},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6688650250434875},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.6396191120147705},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.61496502161026},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5824796557426453},{"id":"https://openalex.org/keywords/sleep-apnea","display_name":"Sleep apnea","score":0.5699256062507629},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5281890630722046},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5005900859832764},{"id":"https://openalex.org/keywords/smart-phone","display_name":"Smart phone","score":0.49726083874702454},{"id":"https://openalex.org/keywords/apnea","display_name":"Apnea","score":0.441273957490921},{"id":"https://openalex.org/keywords/sleep","display_name":"Sleep (system call)","score":0.4261329174041748},{"id":"https://openalex.org/keywords/graphical-user-interface","display_name":"Graphical user interface","score":0.41932910680770874},{"id":"https://openalex.org/keywords/body-mass-index","display_name":"Body mass index","score":0.21953290700912476},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.20593905448913574},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06582209467887878}],"concepts":[{"id":"https://openalex.org/C2776006263","wikidata":"https://www.wikidata.org/wiki/Q16606552","display_name":"Obstructive sleep apnea","level":2,"score":0.694773256778717},{"id":"https://openalex.org/C2776193436","wikidata":"https://www.wikidata.org/wiki/Q236232","display_name":"Waist","level":3,"score":0.6737167835235596},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6688650250434875},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.6396191120147705},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.61496502161026},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5824796557426453},{"id":"https://openalex.org/C2777935920","wikidata":"https://www.wikidata.org/wiki/Q213600","display_name":"Sleep apnea","level":2,"score":0.5699256062507629},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5281890630722046},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5005900859832764},{"id":"https://openalex.org/C2984771860","wikidata":"https://www.wikidata.org/wiki/Q22645","display_name":"Smart phone","level":2,"score":0.49726083874702454},{"id":"https://openalex.org/C2781326671","wikidata":"https://www.wikidata.org/wiki/Q754424","display_name":"Apnea","level":2,"score":0.441273957490921},{"id":"https://openalex.org/C2775841894","wikidata":"https://www.wikidata.org/wiki/Q4683692","display_name":"Sleep (system call)","level":2,"score":0.4261329174041748},{"id":"https://openalex.org/C37789001","wikidata":"https://www.wikidata.org/wiki/Q782543","display_name":"Graphical user interface","level":2,"score":0.41932910680770874},{"id":"https://openalex.org/C2780221984","wikidata":"https://www.wikidata.org/wiki/Q131191","display_name":"Body mass index","level":2,"score":0.21953290700912476},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.20593905448913574},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06582209467887878},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/uemcon51285.2020.9298041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon51285.2020.9298041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310017","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W49552497","https://openalex.org/W200597680","https://openalex.org/W1941881555","https://openalex.org/W1977977041","https://openalex.org/W2008056655","https://openalex.org/W2010233908","https://openalex.org/W2037286491","https://openalex.org/W2076448748","https://openalex.org/W2105463075","https://openalex.org/W2106088101","https://openalex.org/W2108263138","https://openalex.org/W2108691203","https://openalex.org/W2117109836","https://openalex.org/W2150175170","https://openalex.org/W2157140718","https://openalex.org/W2264784497","https://openalex.org/W2292052972","https://openalex.org/W2473420485","https://openalex.org/W2501948295","https://openalex.org/W2616551877","https://openalex.org/W2784834174","https://openalex.org/W2787964244","https://openalex.org/W2798638038","https://openalex.org/W2802523029","https://openalex.org/W2887033287","https://openalex.org/W2905885573","https://openalex.org/W2909449485","https://openalex.org/W2914106782","https://openalex.org/W2973802097","https://openalex.org/W2979491533","https://openalex.org/W2983189661","https://openalex.org/W4229914394","https://openalex.org/W4236218212","https://openalex.org/W6960149718"],"related_works":["https://openalex.org/W1481679924","https://openalex.org/W2268943783","https://openalex.org/W2933756203","https://openalex.org/W2334628610","https://openalex.org/W2990628615","https://openalex.org/W4285049360","https://openalex.org/W1973318088","https://openalex.org/W4396500043","https://openalex.org/W2317638083","https://openalex.org/W1630610588"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"provide":[4],"a":[5,46,67,75],"consistent,":[6],"inexpensive,":[7],"and":[8,90,111],"easy":[9],"to":[10,97],"use":[11],"graphical":[12],"user":[13],"interface":[14],"(GUI)":[15],"smart":[16,59],"phone":[17,60],"application":[18,61,114],"named":[19],"Sleep":[20,28],"Apnea":[21,29],"Screener":[22],"(SAS)":[23],"that":[24,104,112],"can":[25,62],"diagnosis":[26,48,63,98],"Obstructive":[27],"(OSA)":[30],"based":[31],"on":[32],"demographic":[33],"data":[34],"such":[35],"as:":[36],"gender,":[37],"age,":[38],"height,":[39],"BMI,":[40],"neck":[41],"circumference,":[42],"waist,":[43],"etc.,":[44],"allowing":[45],"tentative":[47],"of":[49,122],"OSA":[50,106],"without":[51],"the":[52],"need":[53],"for":[54,118],"overnight":[55],"tests.":[56],"The":[57],"developed":[58],"sleep":[64,76],"apnea":[65],"using":[66],"model":[68],"trained":[69],"with":[70],"620":[71],"samples":[72],"collected":[73],"from":[74],"center":[77],"in":[78],"Corpus":[79],"Christi,":[80],"TX.":[81],"Two":[82],"machine":[83],"learning":[84],"classifiers":[85],"(i.e.,":[86],"Logistic":[87],"Regression":[88],"(LR)":[89],"Support":[91],"Vector":[92],"Machine":[93],"(SVM))":[94],"were":[95],"used":[96],"OSA.":[99],"Our":[100],"preliminary":[101],"results":[102],"show":[103],"at-home":[105],"screening":[107],"is":[108,115],"indeed":[109],"possible,":[110],"our":[113],"effective":[116],"method":[117],"covering":[119],"large":[120],"numbers":[121],"undiagnosed":[123],"cases.":[124]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}