{"id":"https://openalex.org/W3081757814","doi":"https://doi.org/10.1109/embc44109.2020.9175448","title":"Predicting Acute Kidney Injury after Surgery","display_name":"Predicting Acute Kidney Injury after Surgery","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3081757814","doi":"https://doi.org/10.1109/embc44109.2020.9175448","mag":"3081757814","pmid":"https://pubmed.ncbi.nlm.nih.gov/33019248"},"language":"en","primary_location":{"id":"doi:10.1109/embc44109.2020.9175448","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc44109.2020.9175448","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"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/A5005731136","display_name":"Majed Al-Jefri","orcid":"https://orcid.org/0000-0002-2293-3632"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Majed Al-Jefri","raw_affiliation_strings":["Department of Medicine, University of Calgary, Calgary, AB, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Medicine, University of Calgary, Calgary, AB, Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100610130","display_name":"Joon Lee","orcid":"https://orcid.org/0000-0001-8593-9321"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Joon Lee","raw_affiliation_strings":["Department of Medicine, University of Calgary, Calgary, AB, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Medicine, University of Calgary, Calgary, AB, Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055947281","display_name":"Matthew T. James","orcid":"https://orcid.org/0000-0002-1876-3917"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Matthew James","raw_affiliation_strings":["Department of Medicine, University of Calgary, Calgary, AB, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Medicine, University of Calgary, Calgary, AB, Canada","institution_ids":["https://openalex.org/I168635309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005731136"],"corresponding_institution_ids":["https://openalex.org/I168635309"],"apc_list":null,"apc_paid":null,"fwci":0.4169,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.62834093,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"4","issue":null,"first_page":"5606","last_page":"5609"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10684","display_name":"Acute Kidney Injury Research","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2727","display_name":"Nephrology"},"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/T10684","display_name":"Acute Kidney Injury Research","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2727","display_name":"Nephrology"},"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/T11116","display_name":"Trauma, Hemostasis, Coagulopathy, Resuscitation","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2706","display_name":"Critical Care and Intensive Care 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/T11930","display_name":"Cardiac, Anesthesia and Surgical Outcomes","score":0.9926999807357788,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/acute-kidney-injury","display_name":"Acute kidney injury","score":0.8049114942550659},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.7529772520065308},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.7047998309135437},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.6512827277183533},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5778308510780334},{"id":"https://openalex.org/keywords/medical-record","display_name":"Medical record","score":0.5475307106971741},{"id":"https://openalex.org/keywords/complication","display_name":"Complication","score":0.5420854687690735},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.4817938208580017},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4226498603820801},{"id":"https://openalex.org/keywords/emergency-medicine","display_name":"Emergency medicine","score":0.4192970395088196},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40388551354408264},{"id":"https://openalex.org/keywords/medical-emergency","display_name":"Medical emergency","score":0.37218785285949707},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34030938148498535},{"id":"https://openalex.org/keywords/intensive-care-medicine","display_name":"Intensive care medicine","score":0.3287762701511383},{"id":"https://openalex.org/keywords/surgery","display_name":"Surgery","score":0.2990480065345764},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.2820623517036438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2759416699409485}],"concepts":[{"id":"https://openalex.org/C2780472472","wikidata":"https://www.wikidata.org/wiki/Q424337","display_name":"Acute kidney injury","level":2,"score":0.8049114942550659},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.7529772520065308},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.7047998309135437},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6512827277183533},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5778308510780334},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.5475307106971741},{"id":"https://openalex.org/C81182388","wikidata":"https://www.wikidata.org/wiki/Q353963","display_name":"Complication","level":2,"score":0.5420854687690735},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4817938208580017},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4226498603820801},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.4192970395088196},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40388551354408264},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.37218785285949707},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34030938148498535},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.3287762701511383},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.2990480065345764},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.2820623517036438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2759416699409485}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000416","descriptor_name":"Alberta","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000416","descriptor_name":"Alberta","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000416","descriptor_name":"Alberta","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":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058186","descriptor_name":"Acute Kidney Injury","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D058186","descriptor_name":"Acute Kidney Injury","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D058186","descriptor_name":"Acute Kidney Injury","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc44109.2020.9175448","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc44109.2020.9175448","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:33019248","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33019248","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":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1971206893","https://openalex.org/W2047753270","https://openalex.org/W2053797135","https://openalex.org/W2067825615","https://openalex.org/W2116500684","https://openalex.org/W2131419242","https://openalex.org/W2148143831","https://openalex.org/W2289628866","https://openalex.org/W2775014180","https://openalex.org/W2787798272","https://openalex.org/W2909369566","https://openalex.org/W2915239801","https://openalex.org/W2946302516","https://openalex.org/W2958901226","https://openalex.org/W2964696298","https://openalex.org/W2972538248","https://openalex.org/W3008277872","https://openalex.org/W3108235655","https://openalex.org/W6748512027","https://openalex.org/W6759197003","https://openalex.org/W6774043905"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W4231274751","https://openalex.org/W1549363203","https://openalex.org/W2154063878","https://openalex.org/W2556012038","https://openalex.org/W1489772951","https://openalex.org/W1538046993","https://openalex.org/W4239293476","https://openalex.org/W2073883415"],"abstract_inverted_index":{"Acute":[0],"Kidney":[1],"Injury":[2],"(AKI)":[3,46],"is":[4,21,35,87],"a":[5,22],"common":[6],"complication":[7],"after":[8],"surgery.":[9,51],"Recognition":[10],"of":[11,15,32,42,59,63,105],"patients":[12,48,101],"at":[13,17],"risk":[14],"AKI":[16,155],"an":[18],"earlier":[19],"stage":[20],"priority":[23],"for":[24],"researchers":[25],"and":[26,121,136,138,143],"health":[27],"care":[28],"providers.":[29],"The":[30,52,124],"objective":[31],"this":[33,56],"study":[34,57],"to":[36,97],"develop":[37],"machine":[38],"learning":[39],"prediction":[40],"models":[41,149],"acute":[43],"kidney":[44],"injury":[45],"in":[47,55,89,154],"who":[49],"undergo":[50],"dataset":[53],"used":[54,88],"consists":[58],"in-hospital":[60],"patients'":[61],"data":[62,74],"five":[64],"different":[65,69],"cohorts":[66],"coming":[67],"from":[68,77,95,147],"major":[70],"procedure":[71],"types.":[72],"This":[73],"was":[75],"collected":[76],"the":[78,90,100,127],"SunRiseClinical":[79],"Manager":[80],"(SCM)":[81],"electronic":[82],"medical":[83],"records":[84],"system":[85],"that":[86],"Calgary":[91],"Zone,":[92],"Alberta,":[93],"Canada":[94],"2008":[96],"2015":[98],"where":[99],"are":[102],">=18":[103],"years":[104],"age.":[106],"Five":[107],"classifiers":[108],"were":[109],"experimented":[110],"with:":[111],"support":[112],"vector":[113],"machine,":[114],"random":[115],"forest,":[116],"logistic":[117],"regression,":[118],"k-nearest":[119],"neighbors,":[120],"adaptive":[122],"boosting.":[123],"area":[125],"under":[126],"receiver":[128],"operating":[129],"characteristics":[130],"curve":[131],"(AUROC)":[132],"ranged":[133,140],"between":[134,141],"0.62-0.84":[135],"sensitivity":[137],"specificity":[139],"0.81-0.83":[142],"0.43-0.85,":[144],"respectively.":[145],"Predictions":[146],"these":[148],"can":[150],"facilitate":[151],"early":[152],"intervention":[153],"treatment.":[156]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}