Increasing tendency of urine protein is a risk factor for rapid eGFR decline in patients with CKD: A machine learning-based prediction model by using a big database - Inaguma, Daijo; Kitagawa, Akimitsu; Yanagiya, Ryosuke; Koseki, Akira; Iwamori, Toshiya; Kudo, Michiharu; Yuzawa, Yukio (PLoS ONE, 2020)
Keywords: Algorithms; Artificial intelligence; Biology and Life Sciences; Blood pressure; Chronic kidney failure; Comorbidity; Complications and side effects; Computer and Information Sciences; Diabetes; Electronic health records; Electronic medical records; End-stage renal disease; Epidermal growth factor receptors; Glomerular filtration rate; Health aspects; Hemoglobin; Hospitals; Hypertension; Internal medicine; Kidney diseases; Kidneys; Laboratories; Learning algorithms; Machine learning; Medical records; Medicine; Medicine and Health Sciences; Nephrology; Patients; Physical Sciences; Prediction models; Prognosis; Proteins; Proteinuria; Risk analysis; Risk factors; Science; Statistics; Urine; Japan