乐胖代购免代理版

{"id":"https://openalex.org/W4405490319","doi":"https://doi.org/10.1109/embc53108.2024.10781497","title":"Real time automatic risk prediction in ICU patients treated with ECMO","display_name":"Real time automatic risk prediction in ICU patients treated with ECMO","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4405490319","doi":"https://doi.org/10.1109/embc53108.2024.10781497","pmid":"https://pubmed.ncbi.nlm.nih.gov/40039627"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc53108.2024.10781497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref","pubmed"],"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/A5100664664","display_name":"Filipe Ribeiro","orcid":"https://orcid.org/0000-0002-1161-2833"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"funder","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Filipe Ribeiro","raw_affiliation_strings":["Universidade de Lisboa,Institute for Systems and Robotics, LARSyS, Instituto Superior Técnico,Portugal"],"affiliations":[{"raw_affiliation_string":"Universidade de Lisboa,Institute for Systems and Robotics, LARSyS, Instituto Superior Técnico,Portugal","institution_ids":["https://openalex.org/I141596103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010674128","display_name":"Catarina Barata","orcid":"https://orcid.org/0000-0002-6478-8007"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"funder","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Catarina Barata","raw_affiliation_strings":["Universidade de Lisboa,Institute for Systems and Robotics, LARSyS, Instituto Superior Técnico,Portugal"],"affiliations":[{"raw_affiliation_string":"Universidade de Lisboa,Institute for Systems and Robotics, LARSyS, Instituto Superior Técnico,Portugal","institution_ids":["https://openalex.org/I141596103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055972012","display_name":"Jo\u00e3o Miguel Ribeiro","orcid":"https://orcid.org/0000-0001-7207-8948"},"institutions":[{"id":"https://openalex.org/I4210149283","display_name":"Hospital de Santa Maria","ror":"https://ror.org/05bz1tw26","country_code":"PT","type":"healthcare","lineage":["https://openalex.org/I4210149283"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Jo\u00e3o Ribeiro","raw_affiliation_strings":["Hospital de Santa Maria,ECMO Referral Centre,Intensive Care Department,Lisbon,Portugal"],"affiliations":[{"raw_affiliation_string":"Hospital de Santa Maria,ECMO Referral Centre,Intensive Care Department,Lisbon,Portugal","institution_ids":["https://openalex.org/I4210149283"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053559436","display_name":"Jo\u00e3o Sanches","orcid":"https://orcid.org/0000-0001-9089-2740"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"funder","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Jo\u00e3o Sanches","raw_affiliation_strings":["Universidade de Lisboa,Institute for Systems and Robotics, LARSyS, Instituto Superior Técnico,Portugal"],"affiliations":[{"raw_affiliation_string":"Universidade de Lisboa,Institute for Systems and Robotics, LARSyS, Instituto Superior Técnico,Portugal","institution_ids":["https://openalex.org/I141596103"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":77},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10198","display_name":"Heart Failure Treatment and Management","score":0.9964,"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"}},"topics":[{"id":"https://openalex.org/T10198","display_name":"Heart Failure Treatment and Management","score":0.9964,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9872,"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":0.9745,"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"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5189333},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.36061043},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.35367343},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.3361523}],"mesh":[{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015199","descriptor_name":"Extracorporeal Membrane Oxygenation","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007362","descriptor_name":"Intensive Care Units","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":"","qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc53108.2024.10781497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40039627","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_indexed_in_scopus":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":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":6,"referenced_works":["https://openalex.org/W2115098571","https://openalex.org/W2789045531","https://openalex.org/W2802668759","https://openalex.org/W2938221441","https://openalex.org/W3009583110","https://openalex.org/W4376891107"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W4389568370","https://openalex.org/W3108674512","https://openalex.org/W3032375762","https://openalex.org/W3031052312","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2080531066","https://openalex.org/W1995515455","https://openalex.org/W1506200166"],"abstract_inverted_index":{"The":[0,111],"COVID-19":[1,65],"pandemic":[2],"has":[3],"underscored":[4],"the":[5,48,97,100,118,126],"relevance":[6],"of":[7,44,50,99,125,141,150],"intensive":[8],"care":[9,20],"medicine.":[10],"ICUs":[11],"faced":[12],"repeated":[13],"strain,":[14],"relying":[15],"on":[16,117],"advanced":[17],"equipment":[18],"for":[19],"provision.":[21],"ECMO":[22,69],"emerged":[23],"as":[24],"pivotal,":[25],"providing":[26],"support":[27],"to":[28,62,86],"patients":[29,63],"lacking":[30],"sufficient":[31],"oxygen":[32],"delivery":[33],"via":[34],"invasive":[35],"mechanical":[36],"ventilation.":[37],"This":[38],"device":[39],"consistently":[40],"generates":[41],"high":[42],"flows":[43],"multidimensional":[45],"data,":[46],"showcasing":[47],"potential":[49],"leveraging":[51],"machine":[52],"learning-based":[53],"systems.":[54],"Considering":[55],"81":[56],"labeled":[57],"multivariate":[58],"time":[59,148],"series":[60],"referring":[61],"with":[64,68,75],"pneumonia":[66],"treated":[67],"support,":[70],"a":[71,80,122],"Support":[72],"Vector":[73],"Machine":[74],"varying":[76],"kernel":[77],"functions":[78],"and":[79,91,108,136,144,153],"Random":[81,102],"Forest":[82,103],"model":[83],"were":[84],"employed":[85],"discern":[87],"clinical":[88,128,133],"condition":[89,134],"deterioration":[90,135],"improvement.":[92],"Performance":[93],"assessment":[94,124],"resulted":[95],"in":[96],"selection":[98],"optimal":[101],"model,":[104,120],"presenting":[105],"exceptional":[106],"metrics":[107],"precise":[109],"calibration.":[110],"Clinical":[112],"Assessment":[113],"Score,":[114],"computed":[115],"based":[116],"selected":[119],"provided":[121],"real-time":[123],"patient's":[127],"dynamics,":[129],"effectively":[130],"anticipating":[131],"significant":[132],"improvement,":[137],"achieving":[138],"an":[139],"AUROC":[140],"0.9176,":[142],"0.8944,":[143],"0.8556":[145],"considering":[146],"preceding":[147],"intervals":[149],"4,":[151],"8,":[152],"12":[154],"hours,":[155],"respectively.":[156]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4405490319","counts_by_year":[],"updated_date":"2025-04-18T11:39:40.599424","created_date":"2024-12-18"}