{"id":"https://openalex.org/W4398151494","doi":"https://doi.org/10.1109/jbhi.2024.3403109","title":"Frequency Domain Deep Learning With Non-Invasive Features for Intraoperative Hypotension Prediction","display_name":"Frequency Domain Deep Learning With Non-Invasive Features for Intraoperative Hypotension Prediction","publication_year":2024,"publication_date":"2024-05-20","ids":{"openalex":"https://openalex.org/W4398151494","doi":"https://doi.org/10.1109/jbhi.2024.3403109","pmid":"https://pubmed.ncbi.nlm.nih.gov/38768003"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2024.3403109","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3403109","pdf_url":"https://ieeexplore.ieee.org/ielx7/6221020/6363502/10535187.pdf","source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/6221020/6363502/10535187.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051011750","display_name":"Jeong-Hyeon Moon","orcid":"https://orcid.org/0000-0002-2805-7063"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jeong-Hyeon Moon","raw_affiliation_strings":["Department of Artificial Intelligence, Ajou University, Suwon, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-2805-7063","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Ajou University, Suwon, South Korea","institution_ids":["https://openalex.org/I57664883"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101719180","display_name":"Garam Lee","orcid":"https://orcid.org/0000-0002-7226-1643"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Garam Lee","raw_affiliation_strings":["Department of Biostatistics, Epidemiology &amp; Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA"],"raw_orcid":"https://orcid.org/0000-0002-7226-1643","affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Epidemiology &amp; Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021269581","display_name":"Seung Mi Lee","orcid":"https://orcid.org/0000-0002-2543-0408"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seung Mi Lee","raw_affiliation_strings":["Department of Biostatistics, Epidemiology &amp; Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA"],"raw_orcid":"https://orcid.org/0000-0002-2543-0408","affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Epidemiology &amp; Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114949127","display_name":"J H. Ryu","orcid":"https://orcid.org/0009-0006-9130-940X"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jiho Ryu","raw_affiliation_strings":["Department of Software and Computer Engineering, Ajou University, Suwon, South Korea"],"raw_orcid":"https://orcid.org/0009-0006-9130-940X","affiliations":[{"raw_affiliation_string":"Department of Software and Computer Engineering, Ajou University, Suwon, South Korea","institution_ids":["https://openalex.org/I57664883"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078473635","display_name":"Dokyoon Kim","orcid":"https://orcid.org/0000-0002-4592-9564"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dokyoon Kim","raw_affiliation_strings":["Department of Biostatistics, Epidemiology &amp; Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA"],"raw_orcid":"https://orcid.org/0000-0002-4592-9564","affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Epidemiology &amp; Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068333871","display_name":"Kyung-Ah Sohn","orcid":"https://orcid.org/0000-0001-8941-1188"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyung-Ah Sohn","raw_affiliation_strings":["Department of Artificial Intelligence, Ajou University, Suwon, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-8941-1188","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Ajou University, Suwon, South Korea","institution_ids":["https://openalex.org/I57664883"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.6777,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.93155762,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"28","issue":"10","first_page":"5718","last_page":"5728"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11700","display_name":"Hemodynamic Monitoring and Therapy","score":0.7587000131607056,"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"}},"topics":[{"id":"https://openalex.org/T11700","display_name":"Hemodynamic Monitoring and Therapy","score":0.7587000131607056,"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/T11930","display_name":"Cardiac, Anesthesia and Surgical Outcomes","score":0.04899999871850014,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.02160000056028366,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5579283237457275},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5140815377235413},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4543447196483612},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4519850015640259},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3275788128376007}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5579283237457275},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5140815377235413},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4543447196483612},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4519850015640259},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3275788128376007},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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":"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":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005583","descriptor_name":"Fourier Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005583","descriptor_name":"Fourier Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005583","descriptor_name":"Fourier Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005583","descriptor_name":"Fourier Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005583","descriptor_name":"Fourier Analysis","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":"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":"D007022","descriptor_name":"Hypotension","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D007022","descriptor_name":"Hypotension","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D007022","descriptor_name":"Hypotension","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D007022","descriptor_name":"Hypotension","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D007022","descriptor_name":"Hypotension","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D007022","descriptor_name":"Hypotension","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":true},{"descriptor_ui":"D007022","descriptor_name":"Hypotension","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":true},{"descriptor_ui":"D007022","descriptor_name":"Hypotension","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":true},{"descriptor_ui":"D007022","descriptor_name":"Hypotension","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":true},{"descriptor_ui":"D007022","descriptor_name":"Hypotension","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":true},{"descriptor_ui":"D007431","descriptor_name":"Intraoperative Complications","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007431","descriptor_name":"Intraoperative Complications","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007431","descriptor_name":"Intraoperative Complications","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007431","descriptor_name":"Intraoperative Complications","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007431","descriptor_name":"Intraoperative Complications","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016343","descriptor_name":"Monitoring, Intraoperative","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016343","descriptor_name":"Monitoring, Intraoperative","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016343","descriptor_name":"Monitoring, Intraoperative","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016343","descriptor_name":"Monitoring, Intraoperative","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016343","descriptor_name":"Monitoring, Intraoperative","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2024.3403109","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3403109","pdf_url":"https://ieeexplore.ieee.org/ielx7/6221020/6363502/10535187.pdf","source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:38768003","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38768003","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":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":{"id":"doi:10.1109/jbhi.2024.3403109","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3403109","pdf_url":"https://ieeexplore.ieee.org/ielx7/6221020/6363502/10535187.pdf","source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4398151494.pdf"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1571219820","https://openalex.org/W1939265809","https://openalex.org/W2086807851","https://openalex.org/W2089720739","https://openalex.org/W2137226731","https://openalex.org/W2142823558","https://openalex.org/W2180482224","https://openalex.org/W2390392556","https://openalex.org/W2541386048","https://openalex.org/W2757139046","https://openalex.org/W2790650334","https://openalex.org/W2803844903","https://openalex.org/W2808701318","https://openalex.org/W2809427753","https://openalex.org/W2885185690","https://openalex.org/W2892592994","https://openalex.org/W2892741787","https://openalex.org/W2922483332","https://openalex.org/W3006079219","https://openalex.org/W3009202705","https://openalex.org/W3081497074","https://openalex.org/W3100777112","https://openalex.org/W3114591112","https://openalex.org/W3126214037","https://openalex.org/W3134822292","https://openalex.org/W3169450514","https://openalex.org/W3177318507","https://openalex.org/W4200623843","https://openalex.org/W6737947904","https://openalex.org/W6763810570","https://openalex.org/W6769571810","https://openalex.org/W6775642233","https://openalex.org/W6802061597","https://openalex.org/W6859306471"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756"],"abstract_inverted_index":{"BACKGROUND:":[0],"Intraoperative":[1],"hypotension":[2,144,209],"can":[3],"lead":[4],"to":[5,89,142,232],"postoperative":[6],"organ":[7],"dysfunction.":[8],"Previous":[9],"studies":[10,27],"primarily":[11],"used":[12,83],"invasive":[13,222],"arterial":[14],"pressure":[15],"as":[16,59,105],"the":[17,21,37,68,84,101,114,137,172,198,213],"key":[18,52],"biosignal":[19,33,79,94,181],"for":[20,107,124,244],"detection":[22],"of":[23,40,116,139],"hypotension.":[24,247],"However,":[25],"these":[26,44],"had":[28],"limitations":[29],"in":[30,64,168,207],"incorporating":[31],"different":[32],"modalities":[34],"and":[35],"utilizing":[36],"periodic":[38],"nature":[39],"biosignals.":[41],"To":[42,112],"address":[43],"limitations,":[45],"we":[46,71,97,119],"utilized":[47],"frequency-domain":[48,69,149],"information,":[49,70],"which":[50,96],"provides":[51],"insights":[53],"that":[54,76,155,197],"time-domain":[55,103,159,173],"analysis":[56,195],"cannot":[57],"provide,":[58],"revealed":[60,196],"by":[61],"recent":[62,121],"advances":[63],"deep":[65,109,174],"learning.":[66],"With":[67],"propose":[72],"a":[73,165,241],"deep-learning":[74,125,150],"approach":[75],"integrates":[77],"multiple":[78],"modalities.":[80],"METHODS:":[81],"We":[82,131],"discrete":[85],"Fourier":[86],"transform":[87],"technique,":[88],"extract":[90],"frequency":[91,201,214],"information":[92],"from":[93,136],"data,":[95],"then":[98],"combined":[99],"with":[100],"original":[102],"data":[104,138,182,223,234],"input":[106],"our":[108,117,128,162],"learning":[110,175],"model.":[111],"improve":[113],"interpretability":[115],"results,":[118],"incorporated":[120],"interpretable":[122],"modules":[123],"models":[126,176],"into":[127],"analysis.":[129],"RESULTS:":[130],"constructed":[132],"75":[133],"994":[134],"segments":[135],"3226":[140],"patients":[141],"predict":[143],"during":[145],"surgery.":[146],"Our":[147,236],"proposed":[148,237],"model":[151,163],"outperformed":[152],"conventional":[153],"approaches":[154],"rely":[156],"solely":[157],"on":[158,179,221],"information.":[160],"Notably,":[161],"achieved":[164],"greater":[166],"increase":[167],"AUROC":[169],"performance":[170,220,228],"than":[171],"when":[177,230],"trained":[178],"non-invasive":[180,233],"only":[183,217],"(AUROC":[184],"0.898":[185],"[95%":[186,191],"CI:":[187,192],"0.885-0.91]":[188],"vs.":[189],"0.853":[190],"0.839-0.867]).":[193],"Further":[194],"1.5-3.0":[199],"Hz":[200],"band":[202],"played":[203],"an":[204],"important":[205],"role":[206],"predicting":[208,245],"events.":[210],"CONCLUSION:":[211],"Utilizing":[212],"domain":[215],"not":[216],"demonstrated":[218],"high":[219],"but":[224],"also":[225],"showed":[226],"significant":[227],"improvement":[229],"applied":[231],"alone.":[235],"framework":[238],"offers":[239],"clinicians":[240],"novel":[242],"perspective":[243],"intraoperative":[246]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
