{"id":"https://openalex.org/W4294975479","doi":"https://doi.org/10.1109/embc48229.2022.9871500","title":"Using Gated Recurrent Unit Networks for the Prediction of Hemodynamic and Pulmonary Decompensation","display_name":"Using Gated Recurrent Unit Networks for the Prediction of Hemodynamic and Pulmonary Decompensation","publication_year":2022,"publication_date":"2022-07-11","ids":{"openalex":"https://openalex.org/W4294975479","doi":"https://doi.org/10.1109/embc48229.2022.9871500","pmid":"https://pubmed.ncbi.nlm.nih.gov/36086497"},"language":"en","primary_location":{"id":"doi:10.1109/embc48229.2022.9871500","is_oa":true,"landing_page_url":"https://doi.org/10.1109/embc48229.2022.9871500","pdf_url":"https://ieeexplore.ieee.org/ielx7/9870821/9870822/09871500.pdf","source":{"id":"https://openalex.org/S4363607706","display_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/9870821/9870822/09871500.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085518223","display_name":"Christian Mandel","orcid":"https://orcid.org/0000-0002-8983-4938"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Christian Mandel","raw_affiliation_strings":["German Research Center for Artificial Intelligence,Research Department Cyber-Physical Systems,Bremen,Germany,28359"],"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence,Research Department Cyber-Physical Systems,Bremen,Germany,28359","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020013352","display_name":"Kathrin Stich","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151648","display_name":"DAK-Gesundheit (Germany)","ror":"https://ror.org/05qp89973","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210151648"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kathrin Stich","raw_affiliation_strings":["Gesundheit Nord gGmbH,Bremen,Germany,28211"],"affiliations":[{"raw_affiliation_string":"Gesundheit Nord gGmbH,Bremen,Germany,28211","institution_ids":["https://openalex.org/I4210151648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058390268","display_name":"Serge Autexier","orcid":"https://orcid.org/0000-0002-0769-0732"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Serge Autexier","raw_affiliation_strings":["German Research Center for Artificial Intelligence,Research Department Cyber-Physical Systems,Bremen,Germany,28359"],"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence,Research Department Cyber-Physical Systems,Bremen,Germany,28359","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081578222","display_name":"Christoph L\u00fcth","orcid":"https://orcid.org/0000-0002-1121-398X"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christoph Luth","raw_affiliation_strings":["German Research Center for Artificial Intelligence,Research Department Cyber-Physical Systems,Bremen,Germany,28359"],"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence,Research Department Cyber-Physical Systems,Bremen,Germany,28359","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035912244","display_name":"Ariane Ziehn","orcid":null},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ariane Ziehn","raw_affiliation_strings":["German Research Center for Artificial Intelligence,Research Department Intelligente Analytik f&#x00FC;r Messdaten,Berlin,Germany,10559"],"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence,Research Department Intelligente Analytik f&#x00FC;r Messdaten,Berlin,Germany,10559","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040655927","display_name":"Karin Hochbaum","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151648","display_name":"DAK-Gesundheit (Germany)","ror":"https://ror.org/05qp89973","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210151648"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Karin Hochbaum","raw_affiliation_strings":["Gesundheit Nord gGmbH,Bremen,Germany,28211"],"affiliations":[{"raw_affiliation_string":"Gesundheit Nord gGmbH,Bremen,Germany,28211","institution_ids":["https://openalex.org/I4210151648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112783487","display_name":"Rolf Dembinski","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151648","display_name":"DAK-Gesundheit (Germany)","ror":"https://ror.org/05qp89973","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210151648"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rolf Dembinski","raw_affiliation_strings":["Gesundheit Nord gGmbH,Bremen,Germany,28211"],"affiliations":[{"raw_affiliation_string":"Gesundheit Nord gGmbH,Bremen,Germany,28211","institution_ids":["https://openalex.org/I4210151648"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068317237","display_name":"Christoph Int\u2010Veen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162505","display_name":"Philips (Germany)","ror":"https://ror.org/05san5604","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210122849","https://openalex.org/I4210162505"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christoph Int-Veen","raw_affiliation_strings":["Philips GmbH Market DACH,Hamburg,Germany,22335"],"affiliations":[{"raw_affiliation_string":"Philips GmbH Market DACH,Hamburg,Germany,22335","institution_ids":["https://openalex.org/I4210162505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5085518223"],"corresponding_institution_ids":["https://openalex.org/I33256026"],"apc_list":null,"apc_paid":null,"fwci":0.3118,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5051713,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"2022","issue":null,"first_page":"4584","last_page":"4589"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9926000237464905,"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"}},"topics":[{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9926000237464905,"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/T10218","display_name":"Sepsis Diagnosis and Treatment","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/decompensation","display_name":"Decompensation","score":0.9190281629562378},{"id":"https://openalex.org/keywords/hemodynamics","display_name":"Hemodynamics","score":0.8151063323020935},{"id":"https://openalex.org/keywords/intensive-care-unit","display_name":"Intensive care unit","score":0.652029812335968},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.6132680177688599},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.4180058538913727},{"id":"https://openalex.org/keywords/intensive-care","display_name":"Intensive care","score":0.41472524404525757},{"id":"https://openalex.org/keywords/mechanical-ventilation","display_name":"Mechanical ventilation","score":0.41224199533462524},{"id":"https://openalex.org/keywords/intensive-care-medicine","display_name":"Intensive care medicine","score":0.4039068818092346},{"id":"https://openalex.org/keywords/emergency-medicine","display_name":"Emergency medicine","score":0.39030835032463074},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.383880615234375}],"concepts":[{"id":"https://openalex.org/C2778721985","wikidata":"https://www.wikidata.org/wiki/Q1183680","display_name":"Decompensation","level":2,"score":0.9190281629562378},{"id":"https://openalex.org/C178853913","wikidata":"https://www.wikidata.org/wiki/Q1642137","display_name":"Hemodynamics","level":2,"score":0.8151063323020935},{"id":"https://openalex.org/C2776376669","wikidata":"https://www.wikidata.org/wiki/Q5094647","display_name":"Intensive care unit","level":2,"score":0.652029812335968},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6132680177688599},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.4180058538913727},{"id":"https://openalex.org/C2987404301","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care","level":2,"score":0.41472524404525757},{"id":"https://openalex.org/C2777080012","wikidata":"https://www.wikidata.org/wiki/Q3766250","display_name":"Mechanical ventilation","level":2,"score":0.41224199533462524},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.4039068818092346},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.39030835032463074},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.383880615234375}],"mesh":[{"descriptor_ui":"D003422","descriptor_name":"Critical Care","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003422","descriptor_name":"Critical Care","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003422","descriptor_name":"Critical Care","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006439","descriptor_name":"Hemodynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006439","descriptor_name":"Hemodynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006439","descriptor_name":"Hemodynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":true},{"descriptor_ui":"D007362","descriptor_name":"Intensive Care Units","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007362","descriptor_name":"Intensive Care Units","qualifier_ui":null,"qualifier_name":null,"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}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc48229.2022.9871500","is_oa":true,"landing_page_url":"https://doi.org/10.1109/embc48229.2022.9871500","pdf_url":"https://ieeexplore.ieee.org/ielx7/9870821/9870822/09871500.pdf","source":{"id":"https://openalex.org/S4363607706","display_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:36086497","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36086497","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":{"id":"doi:10.1109/embc48229.2022.9871500","is_oa":true,"landing_page_url":"https://doi.org/10.1109/embc48229.2022.9871500","pdf_url":"https://ieeexplore.ieee.org/ielx7/9870821/9870822/09871500.pdf","source":{"id":"https://openalex.org/S4363607706","display_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8199999928474426,"display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G5740162649","display_name":null,"funder_award_id":"01MK20012P","funder_id":"https://openalex.org/F4320323803","funder_display_name":"Bundesministerium f\u00fcr Wirtschaft und Energie"}],"funders":[{"id":"https://openalex.org/F4320323803","display_name":"Bundesministerium f\u00fcr Wirtschaft und Energie","ror":"https://ror.org/02vgg2808"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4294975479.pdf","grobid_xml":"https://content.openalex.org/works/W4294975479.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1603121691","https://openalex.org/W1898928487","https://openalex.org/W2000566182","https://openalex.org/W2027846664","https://openalex.org/W2029438113","https://openalex.org/W2064675550","https://openalex.org/W2110317531","https://openalex.org/W2156301104","https://openalex.org/W2157331557","https://openalex.org/W2555077524","https://openalex.org/W2811095531","https://openalex.org/W2892035503","https://openalex.org/W2963434542","https://openalex.org/W2970214389","https://openalex.org/W3109561095"],"related_works":["https://openalex.org/W2085461880","https://openalex.org/W3036560036","https://openalex.org/W4244897591","https://openalex.org/W2338960326","https://openalex.org/W2335083976","https://openalex.org/W2050845046","https://openalex.org/W3092044193","https://openalex.org/W1906602602","https://openalex.org/W3024249827","https://openalex.org/W2029600097"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,67,161,172],"new":[4],"medical":[5],"severity":[6,64],"scoring":[7],"system,":[8],"used":[9],"to":[10,60,91,132,145,149],"assess":[11],"the":[12,40,43,62,82,100,107],"risk":[13,173],"of":[14,42,89,97,99,106,134,138,164,177,186,209],"hemodynamic":[15,108,178],"and":[16,35,46,79,104,121,148,167,179,198],"pulmonary":[17,122,180],"decompensation":[18,84,181],"for":[19,39,86],"patients":[20],"being":[21],"treated":[22],"in":[23,143,193,202],"intensive":[24,155],"care":[25,156],"units.":[26],"The":[27,184],"score":[28,85],"presented":[29],"here":[30],"includes":[31],"drug":[32],"circulatory":[33],"support":[34,191],"ventilation":[36],"mode":[37],"data":[38],"evaluation":[41],"patient's":[44],"biosignals":[45],"laboratory":[47,165],"values.":[48],"It":[49],"is":[50,141,171],"shown":[51],"that":[52,129,174],"Gated":[53],"Recurrent":[54],"Unit-based":[55],"neural":[56],"networks":[57],"are":[58,112,124,158,182],"able":[59],"predict":[61],"maximal":[63,101],"class":[65],"within":[66],"24":[68,92],"hour":[69],"prediction":[70,87],"time-frame":[71],"(hemodynamic:":[72],"0.85":[73],"AUROC":[74],"/":[75],"pulmonary:":[76],"0.9":[77],"AUROC),":[78],"can":[80,130],"estimate":[81],"underlying":[83],"times":[88],"up":[90],"hours":[93],"with":[94,160],"mean":[95],"errors":[96],"6.3%":[98],"possible":[102],"pulmonary,":[103],"9.6%":[105],"score.":[109],"These":[110],"results":[111],"based":[113],"on":[114],"60h":[115],"observation":[116],"period.":[117],"Clinical":[118],"Relevance-":[119],"Hemodynamic":[120],"decom-pensation":[123],"life":[125],"threatening":[126],"dynamic":[127],"events":[128,197],"lead":[131],"death":[133],"patients.":[135],"Early":[136],"detection":[137],"these":[139,195],"incidents":[140],"essential":[142],"order":[144],"intervene":[146],"therapeutically":[147],"improve":[150],"survival":[151],"chances.":[152],"In":[153],"everyday":[154],"physicians":[157,192],"confronted":[159],"vast":[162],"number":[163],"values":[166],"vital":[168],"parameters.":[169],"There":[170],"early":[175],"stages":[176],"misjudged.":[183],"implementation":[185],"robust":[187],"warning":[188],"systems":[189],"could":[190],"detecting":[194],"critical":[196],"initiate":[199],"therapeutical":[200],"intervention":[201],"time":[203],"which":[204],"would":[205],"achieve":[206],"significant":[207],"reduction":[208],"patient":[210],"mortality.":[211]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
