{"id":"https://openalex.org/W4406261948","doi":"https://doi.org/10.1109/bibm62325.2024.10821970","title":"Dynamic Prediction of Intraoperative Hypotension Based on Hemodynamic Monitoring Data With a Transformer-Based Deep Learning Model","display_name":"Dynamic Prediction of Intraoperative Hypotension Based on Hemodynamic Monitoring Data With a Transformer-Based Deep Learning Model","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406261948","doi":"https://doi.org/10.1109/bibm62325.2024.10821970"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10821970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10821970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114506687","display_name":"Kai Yang","orcid":"https://orcid.org/0000-0003-4550-2023"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Yang","raw_affiliation_strings":["Nanjing University of Information Science and Technology,Jiangsu Key Laboratory of Intelligent Medical Image Computing, School of Future Technology,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Information Science and Technology,Jiangsu Key Laboratory of Intelligent Medical Image Computing, School of Future Technology,Nanjing,China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012719646","display_name":"Mucheng Ren","orcid":"https://orcid.org/0000-0002-6825-0757"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mucheng Ren","raw_affiliation_strings":["Nanjing University of Information Science and Technology,Jiangsu Key Laboratory of Intelligent Medical Image Computing, School of Future Technology,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Information Science and Technology,Jiangsu Key Laboratory of Intelligent Medical Image Computing, School of Future Technology,Nanjing,China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103043758","display_name":"Jun Xu","orcid":"https://orcid.org/0000-0003-4721-9045"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Xu","raw_affiliation_strings":["Nanjing University of Information Science and Technology,Jiangsu Key Laboratory of Intelligent Medical Image Computing, School of Future Technology,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Information Science and Technology,Jiangsu Key Laboratory of Intelligent Medical Image Computing, School of Future Technology,Nanjing,China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061507364","display_name":"Xian Zeng","orcid":"https://orcid.org/0000-0002-1397-554X"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian Zeng","raw_affiliation_strings":["Nanjing University of Information Science and Technology,Jiangsu Key Laboratory of Intelligent Medical Image Computing, School of Future Technology,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Information Science and Technology,Jiangsu Key Laboratory of Intelligent Medical Image Computing, School of Future Technology,Nanjing,China","institution_ids":["https://openalex.org/I200845125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I200845125"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5166","last_page":"5173"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11700","display_name":"Hemodynamic Monitoring and Therapy","score":0.9965999722480774,"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":0.9965999722480774,"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/T10924","display_name":"Cardiovascular Health and Disease Prevention","score":0.9695000052452087,"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":0.9646999835968018,"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/transformer","display_name":"Transformer","score":0.5504329800605774},{"id":"https://openalex.org/keywords/hemodynamics","display_name":"Hemodynamics","score":0.5373815894126892},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5143145322799683},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3702656626701355},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32095807790756226},{"id":"https://openalex.org/keywords/anesthesia","display_name":"Anesthesia","score":0.31563547253608704},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2764808237552643},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15375864505767822}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5504329800605774},{"id":"https://openalex.org/C178853913","wikidata":"https://www.wikidata.org/wiki/Q1642137","display_name":"Hemodynamics","level":2,"score":0.5373815894126892},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5143145322799683},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3702656626701355},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32095807790756226},{"id":"https://openalex.org/C42219234","wikidata":"https://www.wikidata.org/wiki/Q131130","display_name":"Anesthesia","level":1,"score":0.31563547253608704},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2764808237552643},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15375864505767822},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10821970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10821970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320318225","display_name":"Startup Foundation","ror":"https://ror.org/05s31v772"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1761132818","https://openalex.org/W1939265809","https://openalex.org/W2180482224","https://openalex.org/W2541386048","https://openalex.org/W2724263026","https://openalex.org/W2796697326","https://openalex.org/W2808701318","https://openalex.org/W2885185690","https://openalex.org/W2906295032","https://openalex.org/W2909558481","https://openalex.org/W3006079219","https://openalex.org/W3015536380","https://openalex.org/W3016486740","https://openalex.org/W3104808192","https://openalex.org/W3126214037","https://openalex.org/W3195828833","https://openalex.org/W4224214586","https://openalex.org/W4232159834","https://openalex.org/W4281878921","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Timely":[0],"prediction":[1,29],"and":[2,43,76,96,104,167,172,203,210,222],"intervention":[3],"for":[4,27,45,78,218],"Intraoperative":[5],"Hypotension":[6],"(IOH),":[7],"a":[8,64,124],"prevalent":[9],"complication":[10],"associated":[11],"with":[12],"general":[13],"anesthesia,":[14],"is":[15],"crucial":[16,46],"to":[17,100,147],"prevent":[18],"severe":[19],"postoperative":[20,224],"outcomes.":[21,226],"While":[22],"existing":[23],"machine":[24],"learning":[25,68,202],"methods":[26],"IOH":[28,80],"have":[30],"shown":[31],"promise,":[32],"they":[33],"face":[34],"limitations":[35],"such":[36],"as":[37,188,190],"reliance":[38],"on":[39,112],"single":[40],"data":[41,114,126,186],"sources":[42],"disregard":[44],"features":[47],"like":[48],"the":[49,153,176,182,191,198,204,208],"trend":[50],"in":[51,134],"Arterial":[52],"Blood":[53],"Pressure":[54],"(ABP)":[55],"waveforms.":[56],"To":[57],"address":[58],"these":[59],"challenges,":[60],"this":[61],"paper":[62],"proposes":[63],"novel":[65],"multichannel":[66],"deep":[67],"framework":[69],"that":[70,152],"combines":[71],"Convolutional":[72],"Neural":[73],"Networks":[74],"(CNN)":[75],"Transformers":[77],"automatic":[79],"prediction.":[81],"The":[82],"model":[83,155],"leverages":[84],"four":[85],"types":[86],"of":[87,115,128,164,184,193,200,212],"physiological":[88],"waveforms,":[89],"including":[90],"ABP,":[91],"ElectroCardioGram":[92],"(ECG),":[93],"photoplethysmography":[94],"(PLE),":[95],"Carbon":[97],"Dioxide":[98],"(CO2),":[99],"capture":[101],"both":[102],"local":[103],"global":[105],"information,":[106],"enhancing":[107],"information":[108],"representation.":[109],"Experimental":[110],"results":[111,180],"retrospective":[113],"14,140":[116],"adult":[117],"patients":[118],"undergoing":[119],"non-cardiac":[120],"surgery":[121],"from":[122],"VitalDB,":[123],"public":[125],"repository":[127],"vital":[129],"signs":[130],"taken":[131],"during":[132],"surgeries":[133],"10":[135],"operating":[136],"rooms":[137],"at":[138,169],"Seoul":[139],"National":[140],"University":[141],"Hospital":[142],"(from":[143],"January":[144],"6,":[145],"2005":[146],"March":[148],"1,":[149],"2014),":[150],"demonstrate":[151,181],"proposed":[154],"consistently":[156],"outperforms":[157],"other":[158],"methods,":[159],"achieving":[160],"superior":[161],"AUROC":[162],"values":[163],"0.943,":[165],"0.928,":[166],"0.923":[168],"5,":[170],"10,":[171],"15":[173],"minutes":[174],"before":[175],"event,":[177],"respectively.":[178],"These":[179],"powerfulness":[183],"multi-modal":[185],"source":[187],"well":[189],"importance":[192],"ABP":[194],"waveform":[195],"trends.":[196],"Additionally,":[197],"incorporation":[199],"multi-task":[201],"attention":[205],"mechanism":[206],"validates":[207],"effectiveness":[209],"superiority":[211],"our":[213],"model,":[214],"highlighting":[215],"its":[216],"potential":[217],"proactive":[219],"clinical":[220],"interventions":[221],"improved":[223],"patient":[225]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
