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

• Autors principals: Yining Jian (Autor), Di Zhu (Autor), Dongnan Zhou (Autor), Nana Li (Autor), Han Du (Autor), Xue Dong (Autor), Xuemeng Fu (Autor), Dong Tao (Autor), Bing Han (Autor)
• Format: Llibre
• Publicat: BMC, 2022-12-01T00:00:00Z.
• Matèries: article
• Accés en línia: 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...