ARIMA model for predicting chronic kidney disease and estimating its economic burden in China

• Автори: Yining Jian (Автор), Di Zhu (Автор), Dongnan Zhou (Автор), Nana Li (Автор), Han Du (Автор), Xue Dong (Автор), Xuemeng Fu (Автор), Dong Tao (Автор), Bing Han (Автор)
• Формат: Книга
• Опубліковано: BMC, 2022-12-01T00:00:00Z.
• Предмети: article
• Онлайн доступ: Connect to this object online.

Abstract Background Chronic kidney disease (CKD) is an important global public health issue. In China, CKD affects a large number of patients and causes a huge economic burden. This study provided a new way to predict the number of patients with CKD and estimate its economic burden in China based on...