{"id":"https://openalex.org/W4206484519","doi":"https://doi.org/10.3390/s22020461","title":"Novel Privacy Preserving Non-Invasive Sensing-Based Diagnoses of Pneumonia Disease Leveraging Deep Network Model","display_name":"Novel Privacy Preserving Non-Invasive Sensing-Based Diagnoses of Pneumonia Disease Leveraging Deep Network Model","publication_year":2022,"publication_date":"2022-01-08","ids":{"openalex":"https://openalex.org/W4206484519","doi":"https://doi.org/10.3390/s22020461","pmid":"https://pubmed.ncbi.nlm.nih.gov/35062422"},"language":"en","primary_location":{"id":"doi:10.3390/s22020461","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22020461","pdf_url":"https://www.mdpi.com/1424-8220/22/2/461/pdf?version=1641821047","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/2/461/pdf?version=1641821047","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082514217","display_name":"Mujeeb Ur Rehman","orcid":"https://orcid.org/0000-0002-4228-385X"},"institutions":[{"id":"https://openalex.org/I195024194","display_name":"Riphah International University","ror":"https://ror.org/02kdm5630","country_code":"PK","type":"education","lineage":["https://openalex.org/I195024194"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Mujeeb Ur Rehman","raw_affiliation_strings":["Department of Electrical Engineering, Riphah International University, Islamabad 46000, Pakistan"],"raw_orcid":"https://orcid.org/0000-0002-4228-385X","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Riphah International University, Islamabad 46000, Pakistan","institution_ids":["https://openalex.org/I195024194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079841756","display_name":"Arslan Shafique","orcid":"https://orcid.org/0000-0001-7495-2248"},"institutions":[{"id":"https://openalex.org/I195024194","display_name":"Riphah International University","ror":"https://ror.org/02kdm5630","country_code":"PK","type":"education","lineage":["https://openalex.org/I195024194"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Arslan Shafique","raw_affiliation_strings":["Department of Electrical Engineering, Riphah International University, Islamabad 46000, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Riphah International University, Islamabad 46000, Pakistan","institution_ids":["https://openalex.org/I195024194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033319067","display_name":"Kashif Hesham Khan","orcid":"https://orcid.org/0000-0002-6529-6725"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kashif Hesham Khan","raw_affiliation_strings":["Department of Computer Sciences, RMIT University, Melbourne 3000, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, RMIT University, Melbourne 3000, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087091290","display_name":"Sohail Khalid","orcid":"https://orcid.org/0000-0003-3907-0236"},"institutions":[{"id":"https://openalex.org/I195024194","display_name":"Riphah International University","ror":"https://ror.org/02kdm5630","country_code":"PK","type":"education","lineage":["https://openalex.org/I195024194"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Sohail Khalid","raw_affiliation_strings":["Department of Electrical Engineering, Riphah International University, Islamabad 46000, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Riphah International University, Islamabad 46000, Pakistan","institution_ids":["https://openalex.org/I195024194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058750291","display_name":"Abdullah Alhumaidi Alotaibi","orcid":"https://orcid.org/0000-0002-6463-7903"},"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":"Abdullah Alhumaidi Alotaibi","raw_affiliation_strings":["Department of Science and Technology, College of Ranyah, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Science and Technology, College of Ranyah, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia","institution_ids":["https://openalex.org/I179331831"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091807777","display_name":"Turke Althobaiti","orcid":"https://orcid.org/0000-0002-6674-7890"},"institutions":[{"id":"https://openalex.org/I118590987","display_name":"Northern Border University","ror":"https://ror.org/03j9tzj20","country_code":"SA","type":"education","lineage":["https://openalex.org/I118590987"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Turke Althobaiti","raw_affiliation_strings":["Department of Computer Science, Faculty of Science, Northern Border University, Arar 91431, Saudi Arabia","Remote Sensing Unit, Northern Border University, Arar 91431, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-6674-7890","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Science, Northern Border University, Arar 91431, Saudi Arabia","institution_ids":["https://openalex.org/I118590987"]},{"raw_affiliation_string":"Remote Sensing Unit, Northern Border University, Arar 91431, Saudi Arabia","institution_ids":["https://openalex.org/I118590987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080291510","display_name":"Naeem Ramzan","orcid":"https://orcid.org/0000-0002-5088-1462"},"institutions":[{"id":"https://openalex.org/I868834043","display_name":"University of the West of Scotland","ror":"https://ror.org/04w3d2v20","country_code":"GB","type":"education","lineage":["https://openalex.org/I868834043"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Naeem Ramzan","raw_affiliation_strings":["School of Computing, Engineering and Physical Sciences, University of the West of Scotland, Paisely PA1 2BE, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Engineering and Physical Sciences, University of the West of Scotland, Paisely PA1 2BE, UK","institution_ids":["https://openalex.org/I868834043"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100754273","display_name":"Jawad Ahmad","orcid":"https://orcid.org/0000-0001-6289-8248"},"institutions":[{"id":"https://openalex.org/I251738","display_name":"Edinburgh Napier University","ror":"https://ror.org/03zjvnn91","country_code":"GB","type":"education","lineage":["https://openalex.org/I251738"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jawad Ahmad","raw_affiliation_strings":["School of Computing, Edinburgh Napier University, Edinburgh EH10 5DT, UK"],"raw_orcid":"https://orcid.org/0000-0001-6289-8248","affiliations":[{"raw_affiliation_string":"School of Computing, Edinburgh Napier University, Edinburgh EH10 5DT, UK","institution_ids":["https://openalex.org/I251738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074586222","display_name":"Syed Aziz Shah","orcid":"https://orcid.org/0000-0003-2052-1121"},"institutions":[{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]},{"id":"https://openalex.org/I73417466","display_name":"Coventry University","ror":"https://ror.org/01tgmhj36","country_code":"GB","type":"education","lineage":["https://openalex.org/I73417466"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Syed Aziz Shah","raw_affiliation_strings":["Research Centre for Intelligent Healthcare, Coventry University, Coventry CV1 5FB, UK"],"raw_orcid":"https://orcid.org/0000-0003-2052-1121","affiliations":[{"raw_affiliation_string":"Research Centre for Intelligent Healthcare, Coventry University, Coventry CV1 5FB, UK","institution_ids":["https://openalex.org/I4210153682","https://openalex.org/I73417466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047892843","display_name":"Qammer H. Abbasi","orcid":"https://orcid.org/0000-0002-7097-9969"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qammer H. Abbasi","raw_affiliation_strings":["James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK"],"raw_orcid":"https://orcid.org/0000-0002-7097-9969","affiliations":[{"raw_affiliation_string":"James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK","institution_ids":["https://openalex.org/I7882870"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5082514217"],"corresponding_institution_ids":["https://openalex.org/I195024194"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":2.6023,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.89600384,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"22","issue":"2","first_page":"461","last_page":"461"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10862","display_name":"AI in cancer detection","score":0.9822999835014343,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9682999849319458,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.7063747644424438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7000408172607422},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6958620548248291},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6015386581420898},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5848376750946045},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5488130450248718},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4908621907234192},{"id":"https://openalex.org/keywords/pneumonia","display_name":"Pneumonia","score":0.4751667380332947},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.4482472538948059},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.40408092737197876},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32228952646255493},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2198922038078308},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.09674450755119324}],"concepts":[{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.7063747644424438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7000408172607422},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6958620548248291},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6015386581420898},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5848376750946045},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5488130450248718},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4908621907234192},{"id":"https://openalex.org/C2777914695","wikidata":"https://www.wikidata.org/wiki/Q12192","display_name":"Pneumonia","level":2,"score":0.4751667380332947},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.4482472538948059},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.40408092737197876},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32228952646255493},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2198922038078308},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.09674450755119324},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","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":"D011014","descriptor_name":"Pneumonia","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D011014","descriptor_name":"Pneumonia","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D011014","descriptor_name":"Pneumonia","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018907","descriptor_name":"Privacy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018907","descriptor_name":"Privacy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018907","descriptor_name":"Privacy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":14,"locations":[{"id":"doi:10.3390/s22020461","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22020461","pdf_url":"https://www.mdpi.com/1424-8220/22/2/461/pdf?version=1641821047","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:35062422","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35062422","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pure.atira.dk:openaire/71b5ec06-2810-43ff-99a5-184b7e331960","is_oa":true,"landing_page_url":"https://pureportal.coventry.ac.uk/en/publications/71b5ec06-2810-43ff-99a5-184b7e331960","pdf_url":null,"source":{"id":"https://openalex.org/S4306402411","display_name":"Pure (Coventry University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I73417466","host_organization_name":"Coventry University","host_organization_lineage":["https://openalex.org/I73417466"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Rehman, M U, Shafique, A, Khan, K H, Khalid, S, Alotaibi, A A, Althobaiti, T, Ramzan, N, Jawad, A, Shah, S A & Abbasi, Q H 2022, 'Novel Privacy Preserving Non-Invasive Sensing-Based Diagnoses of Pneumonia Disease Leveraging Deep Network Model', Sensors, vol. 22, no. 2, 461. https://doi.org/10.3390/s22020461","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:pure.atira.dk:openaire/7607ddf0-e5e4-4284-8925-f2397f131562","is_oa":true,"landing_page_url":"https://research-portal.uws.ac.uk/en/publications/7607ddf0-e5e4-4284-8925-f2397f131562","pdf_url":null,"source":{"id":"https://openalex.org/S7407055384","display_name":"The UWS Academic Portal","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Rehman, M U, Shafique, A, Khan, K H, Khalid, S, Alotaibi, A A, Althobaiti, T, Ramzan, N, Ahmad, J, Shah, S A & Abbasi, Q H 2022, 'Novel privacy preserving non-invasive sensing-based diagnoses of pneumonia disease leveraging deep network model', Sensors, vol. 22, no. 2, 461. https://doi.org/10.3390/s22020461","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:eprints.gla.ac.uk:262629","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Articles"},{"id":"pmh:oai:ray.yorksj.ac.uk:8170","is_oa":false,"landing_page_url":"https://orcid.org/0000-0002-4228-385X","pdf_url":null,"source":{"id":"https://openalex.org/S4306400356","display_name":"Research at York St John (York St John University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124246371","host_organization_name":"York St John University","host_organization_lineage":["https://openalex.org/I124246371"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:0c0b10aa18074161b88bf60ec692eddd","is_oa":true,"landing_page_url":"https://doaj.org/article/0c0b10aa18074161b88bf60ec692eddd","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":"Sensors, Vol 22, Iss 2, p 461 (2022)","raw_type":"article"},{"id":"pmh:oai:figshare.com:article/20608461","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Novel_Privacy_Preserving_Non-Invasive_Sensing-Based_Diagnoses_of_Pneumonia_Disease_Leveraging_Deep_Network_Model/20608461","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"","raw_type":"Text"},{"id":"pmh:oai:figshare.com:article/27554016","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Novel_Privacy_Preserving_Non-Invasive_Sensing-Based_Diagnoses_of_Pneumonia_Disease_Leveraging_Deep_Network_Model/27554016","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/2/461/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22020461","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Sensors; Volume 22; Issue 2; Pages: 461","raw_type":"Text"},{"id":"pmh:oai:napier-surface.worktribe.com:2839933","is_oa":true,"landing_page_url":"https://napier-surface.worktribe.com/2839933/1/Novel%20Privacy%20Preserving%20Non-Invasive%20Sensing-Based%20Diagnoses%20Of%20Pneumonia%20Disease%20Leveraging%20Deep%20Network%20Model","pdf_url":null,"source":{"id":"https://openalex.org/S4306402591","display_name":"Edinburgh Napier Research Repository (Edinburgh Napier University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I251738","host_organization_name":"Edinburgh Napier University","host_organization_lineage":["https://openalex.org/I251738"],"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":"","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8781561","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8781561","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:pure.atira.dk:publications/71b5ec06-2810-43ff-99a5-184b7e331960","is_oa":true,"landing_page_url":"https://pureportal.coventry.ac.uk/en/publications/novel-privacy-preserving-noninvasive-sensingbased-diagnoses-of-pneumonia-disease-leveraging-deep-network-model(71b5ec06-2810-43ff-99a5-184b7e331960).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306402411","display_name":"Pure (Coventry University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I73417466","host_organization_name":"Coventry University","host_organization_lineage":["https://openalex.org/I73417466"],"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":"","raw_type":""},{"id":"pmh:oai:repository@napier.ac.uk:2839933","is_oa":true,"landing_page_url":"http://researchrepository.napier.ac.uk/Output/2839933","pdf_url":null,"source":{"id":"https://openalex.org/S4306402591","display_name":"Edinburgh Napier Research Repository (Edinburgh Napier University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I251738","host_organization_name":"Edinburgh Napier University","host_organization_lineage":["https://openalex.org/I251738"],"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":"Journal Article"}],"best_oa_location":{"id":"doi:10.3390/s22020461","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22020461","pdf_url":"https://www.mdpi.com/1424-8220/22/2/461/pdf?version=1641821047","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2193117753","display_name":"COG-MHEAR: Towards cognitively-inspired 5G-IoT enabled, multi-modal Hearing Aids","funder_award_id":"EP/T021063/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G2447866707","display_name":null,"funder_award_id":"EP/T021063/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4206484519.pdf","grobid_xml":"https://content.openalex.org/works/W4206484519.grobid-xml"},"referenced_works_count":90,"referenced_works":["https://openalex.org/W55501266","https://openalex.org/W1966443185","https://openalex.org/W1966880683","https://openalex.org/W2007326055","https://openalex.org/W2007844764","https://openalex.org/W2007976736","https://openalex.org/W2031169474","https://openalex.org/W2037769729","https://openalex.org/W2041628072","https://openalex.org/W2054720400","https://openalex.org/W2064181375","https://openalex.org/W2074976143","https://openalex.org/W2090951139","https://openalex.org/W2091844397","https://openalex.org/W2096210558","https://openalex.org/W2099221163","https://openalex.org/W2123774149","https://openalex.org/W2157068942","https://openalex.org/W2183341477","https://openalex.org/W2527899846","https://openalex.org/W2789077402","https://openalex.org/W2789758842","https://openalex.org/W2801689152","https://openalex.org/W2801737997","https://openalex.org/W2802184082","https://openalex.org/W2807127337","https://openalex.org/W2888759448","https://openalex.org/W2912061634","https://openalex.org/W2912190045","https://openalex.org/W2921026504","https://openalex.org/W2952817546","https://openalex.org/W2956123709","https://openalex.org/W2963460174","https://openalex.org/W2966948188","https://openalex.org/W2990908914","https://openalex.org/W2991262878","https://openalex.org/W2998071803","https://openalex.org/W2998957378","https://openalex.org/W2999331242","https://openalex.org/W3004921770","https://openalex.org/W3005443238","https://openalex.org/W3007644576","https://openalex.org/W3009884570","https://openalex.org/W3012390930","https://openalex.org/W3014206051","https://openalex.org/W3016931015","https://openalex.org/W3017309755","https://openalex.org/W3018007233","https://openalex.org/W3025264515","https://openalex.org/W3030483276","https://openalex.org/W3038197756","https://openalex.org/W3038837241","https://openalex.org/W3039545596","https://openalex.org/W3048972734","https://openalex.org/W3049516045","https://openalex.org/W3049680823","https://openalex.org/W3081530559","https://openalex.org/W3088020307","https://openalex.org/W3088180343","https://openalex.org/W3091368047","https://openalex.org/W3091861943","https://openalex.org/W3091879405","https://openalex.org/W3104209854","https://openalex.org/W3105809585","https://openalex.org/W3113195621","https://openalex.org/W3117374488","https://openalex.org/W3117988296","https://openalex.org/W3119554191","https://openalex.org/W3124919495","https://openalex.org/W3127681459","https://openalex.org/W3131071241","https://openalex.org/W3131247511","https://openalex.org/W3131591867","https://openalex.org/W3137077772","https://openalex.org/W3145856563","https://openalex.org/W3147800235","https://openalex.org/W3156749721","https://openalex.org/W3160515927","https://openalex.org/W3173240993","https://openalex.org/W3188020797","https://openalex.org/W3194811204","https://openalex.org/W3211915485","https://openalex.org/W4288083803","https://openalex.org/W6636264263","https://openalex.org/W6673439312","https://openalex.org/W6770898059","https://openalex.org/W6777516898","https://openalex.org/W6783843177","https://openalex.org/W6787382554","https://openalex.org/W6787934565"],"related_works":["https://openalex.org/W3006655138","https://openalex.org/W4367336074","https://openalex.org/W3154045278","https://openalex.org/W4379620016","https://openalex.org/W4393666307","https://openalex.org/W3210764983","https://openalex.org/W4393443811","https://openalex.org/W4367335949","https://openalex.org/W3089416646","https://openalex.org/W4396816114"],"abstract_inverted_index":{"This":[0],"article":[1],"presents":[2],"non-invasive":[3,18],"sensing-based":[4],"diagnoses":[5],"of":[6,77,94,113,156,196,200,284,307,327,346,364,377,397],"pneumonia":[7,43,164,222,371],"disease,":[8],"exploiting":[9],"a":[10,45,136,160,176,394,402],"deep":[11,167],"learning":[12,226,262,279],"model":[13,246,369],"to":[14,37,71,85,134,255,323,342,360],"make":[15],"the":[16,51,75,92,105,111,118,141,153,157,217,221,244,250,257,282,285,304,308,325,328,344,347,362,365,378,389,398,406,416,422],"technique":[17,120,162],"coupled":[19],"with":[20,249,405],"security":[21,396],"preservation.":[22],"Sensing":[23],"and":[24,27,124,140,150,202,204,237,247,263,292,296,317,338,356,375,383,412],"securing":[25],"healthcare":[26],"medical":[28,56,79,87],"images":[29,114,172,219],"such":[30,41,183,207,228,333],"as":[31,42,175,184,208,229,281,334],"X-rays":[32],"that":[33,272,388,414],"can":[34],"be":[35],"used":[36,146,174,341,359],"diagnose":[38],"viral":[39],"diseases":[40],"is":[44,83,99,145,178,270,294,300,312,409],"challenging":[46],"task":[47],"for":[48,147,163,220,243,370],"researchers.":[49],"In":[50,152],"past":[52],"few":[53],"years,":[54],"patients'":[55,78],"records":[57],"have":[58],"been":[59],"shared":[60],"using":[61,117,166,289],"various":[62],"wireless":[63,66],"technologies.":[64],"The":[65,96,373],"transmitted":[67],"data":[68,109],"are":[69,90,115,132,173,214,240,266,320,340,358,381],"prone":[70],"attacks,":[72],"resulting":[73],"in":[74,91,104,110,169],"misuse":[76],"records.":[80],"Therefore,":[81],"it":[82],"important":[84],"secure":[86],"data,":[88],"which":[89,170,299,311,386],"form":[93,112],"images.":[95],"proposed":[97,119,158,245,251,259,286,329,348,366,379,390,417],"work":[98,287,380,408,419],"divided":[100],"into":[101],"two":[102],"sections:":[103],"first":[106],"section,":[107],"primary":[108],"encrypted":[116],"based":[121],"on":[122],"chaos":[123],"convolution":[125],"neural":[126],"network.":[127],"Furthermore,":[128,254],"multiple":[129],"chaotic":[130],"maps":[131],"incorporated":[133,322],"create":[135],"random":[137,143,235],"number":[138],"generator,":[139],"generated":[142],"sequence":[144],"pixel":[148],"permutation":[149],"substitution.":[151],"second":[154],"part":[155],"work,":[159],"new":[161],"diagnosis":[165],"learning,":[168],"X-ray":[171,218],"dataset,":[177],"proposed.":[179],"Several":[180],"physiological":[181],"features":[182,206],"cough,":[185],"fever,":[186],"chest":[187],"pain,":[188],"flu,":[189],"low":[190],"energy,":[191],"sweating,":[192],"shaking,":[193],"chills,":[194],"shortness":[195],"breath,":[197],"fatigue,":[198],"loss":[199],"appetite,":[201],"headache":[203],"statistical":[205],"entropy,":[209,335],"correlation,":[210,336],"contrast":[211],"dissimilarity,":[212],"etc.,":[213],"extracted":[215],"from":[216],"diagnosis.":[223,372],"Moreover,":[224,401],"machine":[225,278,367],"algorithms":[227,280],"support":[230,357],"vector":[231],"machines,":[232],"decision":[233],"trees,":[234],"forests,":[236],"naive":[238,290],"Bayes":[239,291],"also":[241,267,301,321,410],"implemented":[242],"compared":[248],"CNN-based":[252,258],"model.":[253,330],"improve":[256,324],"model,":[260],"transfer":[261],"fine":[264],"tuning":[265],"incorporated.":[268],"It":[269],"found":[271],"CNN":[273,293],"performs":[274],"better":[275,420],"than":[276,303,421],"other":[277],"accuracy":[283,306,326],"when":[288],"89%":[295],"97%,":[297],"respectively,":[298,385],"greater":[302],"average":[305],"existing":[309,407,423],"schemes,":[310],"90%.":[313],"Further,":[314],"K-fold":[315],"analysis":[316],"voting":[318],"techniques":[319],"Different":[331],"metrics":[332],"contrast,":[337],"energy":[339],"gauge":[343],"performance":[345],"encryption":[349,391],"technology,":[350],"while":[351],"precision,":[352],"recall,":[353],"F1":[354],"score,":[355],"evaluate":[361],"effectiveness":[363],"learning-based":[368],"entropy":[374],"correlation":[376],"7.999":[382],"0.0001,":[384],"reflects":[387],"algorithm":[392],"offers":[393],"higher":[395],"digital":[399],"data.":[400],"detailed":[403],"comparison":[404],"made":[411],"reveals":[413],"both":[415],"models":[418],"work.":[424]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}