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健康、医疗与福祉 / 可穿戴、感知与生理监测

针对药物摄入行为数据的不平衡问题，改进的Bagging算法能否提高分类性能？

help研究问题可穿戴、感知与生理监测

针对药物摄入行为数据的不平衡问题，改进的Bagging算法能否提高分类性能？

IUI '21An Activity Recognition System for Taking Medicine Using In-The-Wild Data to Promote Medication Adherence

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help研究问题可穿戴、感知与生理监测

心房颤动（AF）患者如何使用消费者技术（如可穿戴设备）进行日常自我护理？

CHI '25Rethinking Lived Experience in Chronic Illness: Navigating Bodily Doubt with Consumer Technology in Atrial Fibrillation Self-Care

help研究问题可穿戴、感知与生理监测

消费者技术如何通过患者生成数据支持AF患者的临床决策与沟通？

CHI '25Rethinking Lived Experience in Chronic Illness: Navigating Bodily Doubt with Consumer Technology in Atrial Fibrillation Self-Care

help研究问题可穿戴、感知与生理监测

技术在缓解或加剧AF患者对身体感知的“疑惑”中扮演何种角色？

CHI '25Rethinking Lived Experience in Chronic Illness: Navigating Bodily Doubt with Consumer Technology in Atrial Fibrillation Self-Care

help研究问题可穿戴、感知与生理监测

大语言模型（LLM）能否有效分析来自移动和可穿戴设备的行为数据以生成有意义的临床洞察？

UbiComp '24From Classification to Clinical Insights: Towards Analyzing and Reasoning About Mobile and Behavioral Health Data With Large Language Models

help研究问题可穿戴、感知与生理监测

连锁思维（CoT）方法能否提升LLM在多传感器行为数据分析中的推理能力？

UbiComp '24From Classification to Clinical Insights: Towards Analyzing and Reasoning About Mobile and Behavioral Health Data With Large Language Models

help研究问题可穿戴、感知与生理监测

LLM生成的推理内容是否能够在临床情景中帮助心理健康专业人士改进诊断和治疗？

UbiComp '24From Classification to Clinical Insights: Towards Analyzing and Reasoning About Mobile and Behavioral Health Data With Large Language Models

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