慢性疼痛与语言：一种面向个人疼痛描述的主题建模方法
Chronic Pain and Language: A Topic Modelling Approach to Personal Pain Descriptions
AI总结：
针对慢性疼痛主观私密、难以客观评估的问题，本研究提出主题建模方法分析患者的疼痛言语描述，提取疼痛体验模式并实现量化定性，所得结果对慢性疼痛的临床评估与管理具有参考价值。
摘要：
慢性疼痛被公认为是一类重大健康问题，不仅在经济层面造成影响，还会波及社会与个人层面。作为一种私密的主观体验，人们无法从外部客观地感受、描述并将慢性疼痛解读为纯粹的伤害性刺激——这类刺激可直接指向致病因素并助力缓解疼痛，这一点与评估通常较为直接的急性疼痛截然不同。因此，言语交流是向医护人员传递相关信息的关键途径，这些信息（即疼痛体验与患者的内在特质）是外部主体无法获取的。我们提出并探讨了一种主题建模方法，用于识别慢性疼痛言语描述中的模式，并利用这些模式对疼痛体验进行量化与定性分析。我们的方法能够从得到的主题模型和潜在空间中提取关于慢性疼痛体验的新洞见。我们认为，研究结果对慢性疼痛的评估与管理具有临床相关性。
英文摘要：
Chronic pain is recognized as a major health problem, with impacts not only at the economic, but also at the social, and individual levels. Being a private and subjective experience, it is impossible to externally and impartially experience, describe, and interpret chronic pain as a purely noxious stimulus that would directly point to a causal agent and facilitate its mitigation, contrary to acute pain, the assessment of which is usually straightforward. Verbal communication is, thus, key to convey relevant information to health professionals that would otherwise not be accessible to external entities, namely, intrinsic qualities about the painful experience and the patient. We propose and discuss a topic modelling approach to recognize patterns in verbal descriptions of chronic pain, and use these patterns to quantify and qualify experiences of pain. Our approaches allow for the extraction of novel insights on chronic pain experiences from the obtained topic models and latent spaces. We argue that our results are clinically relevant for the assessment and management of chronic pain.
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。
