Fig 1.
KorAHF denotes Korean Acute Heart Failure registry.
Fig 2.
Train and validation of deep-learning prediction model.
DAHF denotes deep-learning-based artificial intelligence algorithm for predicting mortality of patients with acute heart failure. Abbreviations: DBP, diastolic blood pressure; DNN, deep neural network; ECHO, echocardiography; ECG, electrocardiography; Hb, hemoglobin; LAD, left atrium dimension; LVDd, left ventricle end-diastolic dimension; QRS, QRS duration; QTc, corrected QT duration.
Table 1.
Baseline characteristics†.
Fig 3.
Receiver operating characteristic curve for predicting in-hospital mortality.
AUC, area under the receiver operating characteristic curve; CI, confidence interval; GWTG-HF, Get with the Guideline–Heart Failure.
Fig 4.
Receiver operating characteristic curves for predicting long-term mortalities.
AUC, area under the receiver operating characteristic curve; CI, confidence interval; MAGGIC, Meta-Analysis Global Group in Chronic Heart Failure.
Fig 5.
Cumulative hazard of 36-month mortality by deep-learning-based algorithm risk group.