{"id":"https://openalex.org/W4226053773","doi":"https://doi.org/10.1371/journal.pcbi.1009712","title":"SWIFT: A deep learning approach to prediction of hypoxemic events in critically-Ill patients using SpO2 waveform prediction","display_name":"SWIFT: A deep learning approach to prediction of hypoxemic events in critically-Ill patients using SpO2 waveform prediction","publication_year":2021,"publication_date":"2021-12-21","ids":{"openalex":"https://openalex.org/W4226053773","doi":"https://doi.org/10.1371/journal.pcbi.1009712","pmid":"https://pubmed.ncbi.nlm.nih.gov/34932550"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1009712","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1009712","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1009712&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1009712&type=printable","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042426875","display_name":"Akshaya V. Annapragada","orcid":"https://orcid.org/0000-0002-9097-6511"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]},{"id":"https://openalex.org/I2799853436","display_name":"Johns Hopkins Medicine","ror":"https://ror.org/037zgn354","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799853436"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Akshaya V. Annapragada","raw_affiliation_strings":["Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-9097-6511","affiliations":[{"raw_affiliation_string":"Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America","institution_ids":["https://openalex.org/I2799853436","https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033607876","display_name":"Joseph L. Greenstein","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph L. Greenstein","raw_affiliation_strings":["Institute for Computational Medicine, The Johns Hopkins University, Baltimore, Maryland, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-6193-7134","affiliations":[{"raw_affiliation_string":"Institute for Computational Medicine, The Johns Hopkins University, Baltimore, Maryland, United States of America","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021019319","display_name":"Sanjukta N. Bose","orcid":"https://orcid.org/0000-0003-1077-4010"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sanjukta N. Bose","raw_affiliation_strings":["Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, Maryland, United States of America","Institute for Computational Medicine, The Johns Hopkins University, Baltimore, Maryland, United States of America"],"raw_orcid":"https://orcid.org/0000-0003-1077-4010","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, Maryland, United States of America","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Institute for Computational Medicine, The Johns Hopkins University, Baltimore, Maryland, United States of America","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028630216","display_name":"Bradford D. Winters","orcid":"https://orcid.org/0000-0002-5190-6481"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]},{"id":"https://openalex.org/I2799853436","display_name":"Johns Hopkins Medicine","ror":"https://ror.org/037zgn354","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799853436"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bradford D. Winters","raw_affiliation_strings":["Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-5190-6481","affiliations":[{"raw_affiliation_string":"Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America","institution_ids":["https://openalex.org/I2799853436","https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088809750","display_name":"Sridevi V. Sarma","orcid":"https://orcid.org/0000-0002-4817-6625"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]},{"id":"https://openalex.org/I2799853436","display_name":"Johns Hopkins Medicine","ror":"https://ror.org/037zgn354","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799853436"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sridevi V. Sarma","raw_affiliation_strings":["Department of Biomedical Engineering, The Johns Hopkins University School of Medicine & Whiting School of Engineering, Baltimore, Maryland, United States of America","Institute for Computational Medicine, The Johns Hopkins University, Baltimore, Maryland, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, The Johns Hopkins University School of Medicine & Whiting School of Engineering, Baltimore, Maryland, United States of America","institution_ids":["https://openalex.org/I2799853436","https://openalex.org/I145311948"]},{"raw_affiliation_string":"Institute for Computational Medicine, The Johns Hopkins University, Baltimore, Maryland, United States of America","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085871644","display_name":"Raimond L. Winslow","orcid":"https://orcid.org/0000-0003-1719-1651"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]},{"id":"https://openalex.org/I2799853436","display_name":"Johns Hopkins Medicine","ror":"https://ror.org/037zgn354","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799853436"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Raimond L. Winslow","raw_affiliation_strings":["Department of Biomedical Engineering, The Johns Hopkins University School of Medicine & Whiting School of Engineering, Baltimore, Maryland, United States of America","Institute for Computational Medicine, The Johns Hopkins University, Baltimore, Maryland, United States of America"],"raw_orcid":"https://orcid.org/0000-0003-1719-1651","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, The Johns Hopkins University School of Medicine & Whiting School of Engineering, Baltimore, Maryland, United States of America","institution_ids":["https://openalex.org/I2799853436","https://openalex.org/I145311948"]},{"raw_affiliation_string":"Institute for Computational Medicine, The Johns Hopkins University, Baltimore, Maryland, United States of America","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5085871644"],"corresponding_institution_ids":["https://openalex.org/I145311948","https://openalex.org/I2799853436"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":0.7639,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.68609486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"17","issue":"12","first_page":"e1009712","last_page":"e1009712"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T13248","display_name":"Healthcare Technology and Patient Monitoring","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/critically-ill","display_name":"Critically ill","score":0.8015075922012329},{"id":"https://openalex.org/keywords/swift","display_name":"Swift","score":0.5560476183891296},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.5506264567375183},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4870598614215851},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.467540442943573},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4669894576072693},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4117579460144043},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2952190041542053},{"id":"https://openalex.org/keywords/intensive-care-medicine","display_name":"Intensive care medicine","score":0.24492359161376953},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08520868420600891}],"concepts":[{"id":"https://openalex.org/C2991859549","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Critically ill","level":2,"score":0.8015075922012329},{"id":"https://openalex.org/C116188536","wikidata":"https://www.wikidata.org/wiki/Q17118377","display_name":"Swift","level":2,"score":0.5560476183891296},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.5506264567375183},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4870598614215851},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.467540442943573},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4669894576072693},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4117579460144043},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2952190041542053},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.24492359161376953},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08520868420600891},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"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":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000821","qualifier_name":"virology","is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000821","qualifier_name":"virology","is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000821","qualifier_name":"virology","is_major_topic":false},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":"Q000302","qualifier_name":"isolation & purification","is_major_topic":false},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":"Q000302","qualifier_name":"isolation & purification","is_major_topic":false},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":"Q000302","qualifier_name":"isolation & purification","is_major_topic":false},{"descriptor_ui":"D000089382","descriptor_name":"Oxygen Saturation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000089382","descriptor_name":"Oxygen Saturation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000089382","descriptor_name":"Oxygen Saturation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000860","descriptor_name":"Hypoxia","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D000860","descriptor_name":"Hypoxia","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D000860","descriptor_name":"Hypoxia","qualifier_ui":"Q000097","qualifier_name":"blood","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":"D007362","descriptor_name":"Intensive Care Units","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007362","descriptor_name":"Intensive Care Units","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007362","descriptor_name":"Intensive Care Units","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016638","descriptor_name":"Critical Illness","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016638","descriptor_name":"Critical Illness","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016638","descriptor_name":"Critical Illness","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1371/journal.pcbi.1009712","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1009712","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1009712&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},{"id":"pmid:34932550","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34932550","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":"PLoS computational biology","raw_type":null},{"id":"pmh:oai:RePEc:plo:pcbi00:1009712","is_oa":false,"landing_page_url":"https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1009712","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"},{"id":"pmh:oai:doaj.org/article:3746b8c908d3497fb4dec5a63de0bd00","is_oa":true,"landing_page_url":"https://doaj.org/article/3746b8c908d3497fb4dec5a63de0bd00","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":"PLoS Computational Biology, Vol 17, Iss 12, p e1009712 (2021)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8730462","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8730462","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":"PLoS Comput Biol","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1009712","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1009712","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1009712&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.46000000834465027,"display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G2225768318","display_name":null,"funder_award_id":"RAPID2031195.","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5187621859","display_name":null,"funder_award_id":"1T32GM136577","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4226053773.pdf","grobid_xml":"https://content.openalex.org/works/W4226053773.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W122884601","https://openalex.org/W1968801785","https://openalex.org/W2004512400","https://openalex.org/W2024958633","https://openalex.org/W2101234009","https://openalex.org/W2141173017","https://openalex.org/W2159606687","https://openalex.org/W2271840356","https://openalex.org/W2342249984","https://openalex.org/W2767837043","https://openalex.org/W2775177941","https://openalex.org/W2864443330","https://openalex.org/W2891400669","https://openalex.org/W2892741787","https://openalex.org/W2949323697","https://openalex.org/W2957430216","https://openalex.org/W2963078493","https://openalex.org/W2964010366","https://openalex.org/W3014076398","https://openalex.org/W3025232799","https://openalex.org/W3035965352","https://openalex.org/W3038637827","https://openalex.org/W3049412607","https://openalex.org/W3099878876","https://openalex.org/W3104794978","https://openalex.org/W3111737151","https://openalex.org/W4205197778","https://openalex.org/W4231753770","https://openalex.org/W4244873342","https://openalex.org/W4297752368","https://openalex.org/W6675354045","https://openalex.org/W6777682052"],"related_works":["https://openalex.org/W3198734187","https://openalex.org/W3175001965","https://openalex.org/W2350024083","https://openalex.org/W4250183494","https://openalex.org/W3130985054","https://openalex.org/W608019500","https://openalex.org/W2478736918","https://openalex.org/W3130134152","https://openalex.org/W1968928660","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Hypoxemia":[0],"is":[1],"a":[2,62],"significant":[3],"driver":[4],"of":[5,30,99,125,162],"mortality":[6],"and":[7,17,49,74,97,105,123,145,170],"poor":[8],"clinical":[9,32,141,154],"outcomes":[10,33],"in":[11,20,77,102,131,153],"conditions":[12],"such":[13],"as":[14,85],"brain":[15],"injury":[16],"cardiac":[18],"arrest":[19],"critically":[21,103,163],"ill":[22,104,164],"patients,":[23,107],"including":[24],"COVID-19":[25,106,168],"patients.":[26],"Given":[27],"the":[28,78,132,160,167],"host":[29],"negative":[31],"attributed":[34],"to":[35,40,136,139,158],"hypoxemia,":[36],"identifying":[37],"patients":[38,165],"likely":[39],"experience":[41],"hypoxemia":[42],"would":[43],"offer":[44],"valuable":[45],"opportunities":[46],"for":[47],"early":[48],"thus":[50],"more":[51,94],"effective":[52],"intervention.":[53],"We":[54],"present":[55],"SWIFT":[56,92,109,119,149],"(SpO2":[57],"Waveform":[58],"ICU":[59],"Forecasting":[60],"Technique),":[61],"deep":[63],"learning":[64],"model":[65],"that":[66],"predicts":[67,93,111,120],"blood":[68],"oxygen":[69],"saturation":[70],"(SpO2)":[71],"waveforms":[72,113],"5":[73],"30":[75,129],"minutes":[76,130],"future":[79],"using":[80],"only":[81],"prior":[82],"SpO2":[83,112],"values":[84],"inputs.":[86],"When":[87],"tested":[88],"on":[89],"novel":[90],"data,":[91],"than":[95],"80%":[96],"60%":[98],"hypoxemic":[100,127],"events":[101,128],"respectively.":[108],"also":[110],"with":[114],"average":[115],"MSE":[116],"below":[117],".0007.":[118],"both":[121],"occurrence":[122],"magnitude":[124],"potential":[126],"future,":[133],"allowing":[134],"it":[135],"be":[137,151],"used":[138,152],"inform":[140,159],"interventions,":[142],"patient":[143],"triaging,":[144],"optimal":[146],"resource":[147],"allocation.":[148],"may":[150],"decision":[155],"support":[156],"systems":[157],"management":[161],"during":[166],"pandemic":[169],"beyond.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}