MDD-5k：一个通过神经符号LLM智能体合成的精神障碍诊断对话新数据集
MDD-5k: A New Diagnostic Conversation Dataset for Mental Disorders Synthesized via Neuro-Symbolic LLM Agents
AI总结：
本文提出神经符号多智能体框架，基于匿名病例合成精神障碍诊断对话，并构建了首个中文带标签数据集MDD-5k，包含5000个高质量长对话，有效模拟人类诊断过程。
摘要：
大多数精神障碍的临床诊断主要依赖于精神科医生与患者之间的对话。创建此类诊断对话数据集有望推动AI心理健康领域的发展。然而，由于严格的隐私和伦理考量，直接收集真实诊断场景中的对话几乎是不可能的。为了解决这一问题，我们尝试利用更容易获取的匿名患者病例来合成诊断对话。具体而言，我们设计了一个神经符号多智能体框架，利用大语言模型合成精神障碍的诊断对话。该框架以患者病例为输入，能够基于单个患者病例生成多个多样化的对话。该框架主要涉及医生智能体与患者智能体之间的交互，并通过动态诊断树在符号控制下生成对话。通过应用所提出的框架，我们构建了最大的中文精神障碍诊断数据集MDD-5k。该数据集基于与上海市精神卫生中心合作获取的1000个真实的匿名患者病例构建，包含5000个高质量的长对话，并以诊断结果和治疗意见作为标签。据我们所知，它也是首个用于中文精神障碍诊断的带标签数据集。人工评估表明，所提出的MDD-5k数据集成功模拟了类似人类的精神障碍诊断过程。
英文摘要：
The clinical diagnosis of most mental disorders primarily relies on the conversations between psychiatrist and patient. The creation of such diagnostic conversation datasets is promising to boost the AI mental healthcare community. However, directly collecting the conversations in real diagnosis scenarios is near impossible due to stringent privacy and ethical considerations. To address this issue, we seek to synthesize diagnostic conversation by exploiting anonymized patient cases that are easier to access. Specifically, we design a neuro-symbolic multi-agent framework for synthesizing the diagnostic conversation of mental disorders with large language models. It takes patient case as input and is capable of generating multiple diverse conversations with one single patient case. The framework basically involves the interaction between a doctor agent and a patient agent, and generates conversations under symbolic control via a dynamic diagnosis tree. By applying the proposed framework, we develop the largest Chinese mental disorders diagnosis dataset MDD-5k. This dataset is built upon 1000 real, anonymized patient cases by cooperating with Shanghai Mental Health Center and comprises 5000 high-quality long conversations with diagnosis results and treatment opinions as labels. To the best of our knowledge, it's also the first labeled dataset for Chinese mental disorders diagnosis. Human evaluation demonstrates the proposed MDD-5k dataset successfully simulates human-like diagnostic process of mental disorders.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
