Prediction of hospital health expenditure based on GM (1.1) grey clustering model
- 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.
Cite this article
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 -