Medical service demand forecasting using a hybrid model based on ARIMA and self-adaptive filtering method

Medical service demand forecasting using a hybrid model based on ARIMA and self-adaptive filtering method

Abstract Background Accurate forecasting of medical service demand is beneficial for the reasonable healthcare resource planning and allocation. The daily outpatient volume is characterized by randomness, periodicity and trend, and the time series methods, like ARIMA are often used for short-term ou...

Full description

Bibliographic Details
Main Authors: Yihuai Huang, Chao Xu, Mengzhong Ji, Wei Xiang, Da He
Format: Article
Language:English
Published: BMC 2020-09-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Time series
ARIMA model
Self-adaptive filtering
Hybrid forecasting model
Medical forecasting
Online Access:http://link.springer.com/article/10.1186/s12911-020-01256-1

Internet

http://link.springer.com/article/10.1186/s12911-020-01256-1

Similar Items