9 天前 - … of end-stage renal disease, cardiovascular disease, and … validate machine learning
(ML)-based DKD prediction … study using common data model based on electronic health …

22 天前 - … Optum® de-identified Market Clarity database was used for this study, where
Electronic Health Record (EHR) data was mainly exploited to accrue patients’ underlying …

22 天前 - … kidneys and salivary glands were extracted from CT-based volumes using a deep
learning algorithm … additional data may be insufficient to predict dose delivery. Further studies …

29 天前 - … implemented a machine learning algorithm in primary care electronic health record
(EHR) data … risk of death were fit for each outcome between higher and lower predicted risk. …

30 天前 - … prediction after catheter ablation for atrial fibrillation (AF) based on electronic health
records (EHR) using machine learning … models using the eleven different ML algorithms are …

31 天前 - … group in the prediction of mortality in patients with CKD and in CKD progression
with machine learning algorithms, this study aims to predict the onset of heart failure in CKD …

31 天前 - … end-stage kidney disease. … Intelligence (AI) algorithms in developing an advanced
risk stratification indicator with high predictive capabilities, specifically tailored for use in the …

38 天前 - … machine learning algorithms. In this study, we have enhanced the accuracy of machine
learning for disease … htTKV have been shown to predict renal function decline in ADPKD …

52 天前 - … The widespread establishment of Electronic Health … of deep learning algorithms
for disease prediction has … [35] uses the MIMIC-IV database to predict acute kidney injury in …

52 天前 - … in this study utilizing electronic health records of ICU … prediction model for ICU
patients with acute kidney injury … SS Han, “Machine learning algorithm to predict mortality in …