Background: Chronic kidney disease (CKD) represents a significant public health challenge, with rates consistently on the rise. Enhancing kidney function prediction could contribute to the early detection, prevention, and management of CKD in clinical practice. We aimed to investigate whether deep learning techniques, especially those suitable for processing missing values, can improve the accuracy of predicting future renal function compared to traditional statistical method, using the Japan Chronic Kidney Disease Database (J-CKD-DB), a nationwide multicenter CKD registry.
View Article and Find Full Text PDFThe association of anemia with hyperadiponectinemia (HAN) (≥ 20 μg/mL) was studied in 95 Japanese women aged 65-74 (young-old), 175 women aged 75-84 (old-old), and 51 women aged over 85 (oldest-old) who resided at home alone without wheelchair use. The prevalence of anemia was 21.5% overall and increased with aging stepwise (9.
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