Research on the accuracy of mental health diagnosis system based on AI
基于AI的精神健康诊断系统的准确性研究

摘要

随着社会发展，精神健康问题日益突出，传统依赖医生访谈和量表测评的诊断方式，易受主观因素影响，且耗时费力。人工智能（AI）技术为精神健康诊断带来新契机。然而，目前基于AI的精神健康诊断系统准确性有待提升。本文将全方位探讨AI在精神健康诊断中的应用方式，深入分析影响系统准确性的因素，如数据质量与数量、算法与模型、伦理与安全等，并针对性地提出数据优化、算法与模型改进、完善伦理与安全保障等策略，力求为提升诊断系统准确性提供有效思路。

Abstract

With the development of society, mental health problems have become increasingly prominent. The traditional diagnosis method relying on doctor interview and scale evaluation is easily affected by subjective factors and time-consuming. Artificial intelligence (AI) technology brings new opportunities for mental health diagnosis. However, the accuracy of mental health diagnosis system based on AI needs to be improved. This paper will comprehensively explore the application of AI in mental health diagnosis, deeply analyze the factors affecting the accuracy of the system, such as data quality and quantity, algorithm and model, ethics and security, and propose strategies for data optimization, algorithm and model improvement, and improving ethics and security, so as to provide effective ideas for improving the accuracy of the diagnosis system.