为精神卫生保健设计数据驱动的干预措施

Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare Pub Date : 2017-05-23 DOI:10.1145/3154862.3154917

Eivind Flobak, Frode Guribye, D. Jensen, A. Lundervold

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引用次数: 4

摘要

本文介绍了一种辅助技术在成人ADHD认知和情绪控制训练计划中的设计。我们进一步探讨了患者生成数据(PGD)如何在培训过程中支持患者和临床医生之间的互动，并潜在地提高治疗效果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Designing data-driven interventions for mental health care

This paper introduces the design of an assistive technology in a training program for cognitive and emotional control for adults with ADHD. We further address how patient-generated data (PGD) can support the interaction between patients and clinicians in this training process, and potentially increase the effect of the treatment.

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Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare

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