Prevalence and Economic Burden of Mental Illness Among Middle-Aged and Older Adults in China: The Role of Artificial Intelligence in Predicting Healthcare Burden

Yutian Chen; Wenhu Xu; Zhinan Liu; Hang Zhu; Gong Chen

doi:10.2991/978-94-6463-656-7_14

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Prevalence and Economic Burden of Mental Illness Among Middle-Aged and Older Adults in China: The Role of Artificial Intelligence in Predicting Healthcare Burden

Authors

Yutian Chen¹, Wenhu Xu¹, Zhinan Liu¹, Hang Zhu¹, Gong Chen¹^{, *}

¹Institute of Population Research, Peking University, Beijing, 100091, China

^*Corresponding author. Email: chengong@pku.edu.cn

Corresponding Author

Gong Chen

Available Online 28 February 2025.

DOI: 10.2991/978-94-6463-656-7_14 How to use a DOI?
Keywords: Mental Illness; Economic Burden; AI; Middle-aged and Older Adults
Abstract: China’s middle-aged and elderly people have a high prevalence of mental illness and a heavy financial burden. According to the study, between 2011 and 2018, the average annual medical costs of patients with mental illness rose sharply, and the proportion of out-of-pocket payments for rural patients declined but was still higher than that of urban areas. Artificial intelligence plays a significant role in predicting diseases and optimizing resource allocation. Promoting home-based intelligent robot-assisted treatment can reduce care costs and improve treatment efficiency. Meanwhile, the AI disease co-management model is expected to further reduce the medical burden of patients with mental illnesses through whole-life health management.
Copyright: © 2025 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 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024)
Series: Advances in Economics, Business and Management Research
Publication Date: 28 February 2025
ISBN: 978-94-6463-656-7
ISSN: 2352-5428
DOI: 10.2991/978-94-6463-656-7_14 How to use a DOI?
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

ris enw bib

TY  - CONF
AU  - Yutian Chen
AU  - Wenhu Xu
AU  - Zhinan Liu
AU  - Hang Zhu
AU  - Gong Chen
PY  - 2025
DA  - 2025/02/28
TI  - Prevalence and Economic Burden of Mental Illness Among Middle-Aged and Older Adults in China: The Role of Artificial Intelligence in Predicting Healthcare Burden
BT  - Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024)
PB  - Atlantis Press
SP  - 137
EP  - 145
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-656-7_14
DO  - 10.2991/978-94-6463-656-7_14
ID  - Chen2025
ER  -

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