Mixed time series approaches for forecasting the daily number of hospital blood collections-Reference-Cited by-同舟云学术

Mixed time series approaches for forecasting the daily number of hospital blood collections

Published:2021-06 Issue:5 Volume:36 Page:1714-1726
ISSN:0749-6753
Container-title:The International Journal of Health Planning and Management
language:en
Short-container-title:Int J Health Plann Mgmt

Author:

Zhang Xinli¹^ORCID,Zhao Xin¹^ORCID,Mou Xiaoying¹,Tan Mingying²

Affiliation:

1. Business School Sichuan University Chengdu China

2. West China Hospital of Sichuan University Chengdu China

Funder

Sichuan University

Publisher

Wiley

Subject

Health Policy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hpm.3246

Reference30 articles.

1. The significance of blood routine detection in clinical diseases;Li L;Chin Foreign Health Abstr,2013

2. The value and significance of blood routine detection in clinical diseases;Chu AJ;World Latest Medicine Information,2018

3. Modelling and forecasting Positive and Negative Syndrome Scale scores to achieve remission using time series analysis

4. Application of ARMA model in the prediction of the number of hospital admission;Luo L;Hospital Administration Journal of Chinese People's Liberation Army,2019

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