2024年5月1日发(作者：qq游戏下载官网)

基于ChatGPT的心理疾病风险预测模型研究（英文中文双

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In recent years, the prevalence of mental illnesses has been

increasing, posing a great threat to people's lives and health.

Therefore, it is particularly important to study how to predict

and diagnose mental illness. This study aims to explore a

ChatGPT-based mental disease risk prediction model, through

training a large amount of mental health data, to achieve

accurate prediction of patients' mental disease risk.

I. Introduction

With the development and progress of society, the pace of

people's life is accelerating, the pressure of competition is

increasing, and the incidence of mental illness is increasing

year by year. Mental illness not only brings a huge burden to

patients and families, but also causes immeasurable losses to

the whole society. Therefore, it is particularly important to

study how to predict and diagnose mental illness.

Traditional mental health assessment is mainly based on

questionnaires and clinical diagnosis, which has the

disadvantages of high time and energy costs, and the

assessment results are easily affected by individual subjective

factors. With the continuous development of artificial

intelligence technology, mental disease prediction models

based on technologies such as machine learning and natural

language processing have gradually become a research

hotspot.

2. ChatGPT-based mental disease risk prediction model

1. Research Background