ARIMA model for predicting chronic kidney disease and estimating its economic burden in China
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...
Saved in:
Main Authors: | Yining Jian (Author), Di Zhu (Author), Dongnan Zhou (Author), Nana Li (Author), Han Du (Author), Xue Dong (Author), Xuemeng Fu (Author), Dong Tao (Author), Bing Han (Author) |
---|---|
Format: | Book |
Published: |
BMC,
2022-12-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Predicting Diabetes and Estimating Its Economic Burden in China Using Autoregressive Integrated Moving Average Model
by: Di Zhu, et al.
Published: (2022) -
ARIMA and ARIMA-ERNN models for prediction of pertussis incidence in mainland China from 2004 to 2021
by: Meng Wang, et al.
Published: (2022) -
Comparison of ARIMA model, DNN model and LSTM model in predicting disease burden of occupational pneumoconiosis in Tianjin, China
by: He-Ren Lou, et al.
Published: (2022) -
PREDIKSI CURAH HUJAN MENGGUNAKAN METODE ARIMA
by: Hafidh Adiyatma Ramadhan, et al.
Published: (2024) -
The Economic Burden of Chronic Kidney Disease in Vietnam
by: Hai-Yen, et al.
Published: (2021)