Fig. 5: Conceptual model of continuously predicting AKI in-hospital outcomes.
From: Predicting in-hospital outcomes of patients with acute kidney injury
First, we collect the patient information, such as laboratory, procedure, medication, etc. Second, we construct a sequential representation of electronic health records by merging patient data in 24 h. Third, we propose AKIEPM based on deep learning. Fourth, we predict the occurrence of death or need for dialysis at 24 h, 48 h, 72 h, and 7d.
