Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)

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Prediction of hospital health expenditure based on GM (1.1) grey clustering model

Authors
Mengjie Luo1, *
1School of Economics and Management, Beijing Jiaotong University, Beixiaguan, Beijing, China
*Corresponding author. Email: 21120556@bjtu.edu.cn
Corresponding Author
Mengjie Luo
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-102-9_120How to use a DOI?
Keywords
hospital health expenditure; development trend; grey prediction model
Abstract

This paper analyzes the current situation of the development of medical and health expenditure in China, and predicts the future development trend of medical and health expenditure in China by constructing GM (1,1) grey prediction model, in order to provide decision-making reference for the government and relevant departments. According to the China Health Statistical Yearbook from 2015 to 2020, the government health expenditure, social health expenditure and individual health expenditure were selected as indicators to construct a GM (1,1) grey prediction model to predict and analyze the development trend of hospital health expenditure in China from 2020 to 2025. The accuracy of the grey prediction model established according to each index was good, the model accuracy was high and the fitting degree was good, which could be used for medium and long term extrapolation forecast. The forecast results show that from 2020 to 2025, China 's government health care expenditure, social health care expenditure and personal health care expenditure will continue to increase, among which government health expenditure will grow the fastest and other indicators will grow slowly.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
29 December 2022
ISBN
10.2991/978-94-6463-102-9_120
ISSN
2589-4900
DOI
10.2991/978-94-6463-102-9_120How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Mengjie Luo
PY  - 2022
DA  - 2022/12/29
TI  - Prediction of hospital health expenditure based on GM (1.1) grey clustering model
BT  - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
PB  - Atlantis Press
SP  - 1164
EP  - 1169
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-102-9_120
DO  - 10.2991/978-94-6463-102-9_120
ID  - Luo2022
ER  -