Study flow diagram.
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posted on 2025-04-29, 17:34 authored by Sehoon Park, Soomin Chung, Yisak Kim, Sun-Ah Yang, Soie Kwon, Jeong Min Cho, Min Jae Lee, Eunbyeol Cho, Jiwon Ryu, Sejoong Kim, Jeonghwan Lee, Hyung Jin Yoon, Edward Choi, Kwangsoo Kim, Hajeong LeeFlow chart of dataset construction. SNUH, Seoul National University Hospital; SNUBH, Seoul National University Bundang Hospital; SNU-BMC, Seoul National University Boramae Medical Center; Cr, Creatinine; ESRD, End stage renal disease; AKI, Acute kidney injury; EHR, Electronic Health Records; DBP, Diastolic blood pressure; SBP, Systolic blood pressure; HR, Heart rate.
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males comprising 54intraoperative vital signhighest predictive accuracyegfr ), albuminuriaconvolutional neural networkbetter clinical decision786 ), outperformingintraoperative data achievedanalyze intraoperative datamodel &# 8217conventional spark modelg ., age9 %, 50based efficientnet frameworkexternal validation cohortsestimated surgery timeintegrates preoperative datalearning model integratingvalidation cohort 0discovery cohort 0aki risk predictionbased modelusing datamedian age8 %,nation cohortdevelopment cohortmodel performancebased poxlink ">three hospitalsretrospective designrelated characteristicsprediction modelspotential akimedication usemain limitationexternally validatedemergency surgerycomprehensive approachcardiac surgeriesassociated variablesamong 110aldosterone inhibitors761 ).745 ).696 patients66 years
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