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English(EN) Event-Aligned Analysis of Multi-Rater Pain Assessments Using Continuous Wearable Physiology

新框架分析疼痛评估，考虑患者、护士和临床医生视角

作者 PulseAugur 编辑部 · [1 个来源] ·

已开发出一个新框架，通过考虑患者、护士和临床医生各自的视角来分析疼痛评估，而不是假设单一的事实真相。这种评分者感知、事件对齐的方法将个体疼痛评分转换为离散的疼痛变化事件，并将来自可穿戴设备的连续生理数据与这些事件同步，同时保持每个评分者的身份。在疼痛过程中收集的数据的初步发现表明，评分者之间存在显著分歧，并表明在报告的疼痛增加之前出现的生理反应可能因评分者群体而异。 AI

排序理由 该集群包含一篇详细介绍特定研究领域新分析框架的学术论文。[lever_c_降级自研究：ic=1 ai=0.4]

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新框架分析疼痛评估，考虑患者、护士和临床医生视角

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该集群包含一篇详细介绍特定研究领域新分析框架的学术论文。[lever_c_降级自研究：ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Saba A. Farahani, Elahe Khatibi, Thomas D. Hughes, Ariana M. Nelson, Hung Cao, Amir M. Rahmani ·

    使用连续可穿戴生理信号对多评估者疼痛评估进行事件对齐分析

    arXiv:2606.23705v1 Announce Type: cross Abstract: Pain is assessed differently by patients, nurses, and clinicians, yet most computational approaches assume a single ground-truth label - effectively ignoring who is doing the rating. We introduce a rater-aware, event-aligned frame…

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