TY - JOUR AU - Burns, Michelle Nicole AU - Begale, Mark AU - Duffecy, Jennifer AU - Gergle, Darren AU - Karr, Chris J AU - Giangrande, Emily AU - Mohr，David C PY - 2011 DA - 2011/08/12 TI -利用情境感知开发抑郁的移动干预JO - J Med Internet Res SP - e55 VL - 13 IS - 3kw -抑郁KW -行为治疗KW -远程医疗KW -移动健康KW -手机KW -手机KW -传感器KW -数据挖掘KW -人工智能KW -情境感知系统AB -背景:移动电话传感器可以用于开发环境感知系统，自动检测患者何时需要帮助。手机还可以提供生态即时干预，在有问题的情况下提供量身定制的帮助。然而，这种方法还没有被用于治疗重度抑郁症。目的:探讨Mobilyze的技术可行性、功能可靠性和患者满意度。，一种基于手机和互联网的干预，包括生态瞬时干预和上下文感知。方法:我们开发了一个手机应用程序和支持架构，其中机器学习模型(即学习者)基于至少38个并发手机传感器值(如全球定位系统、环境光、最近通话)预测患者的情绪、情绪、认知/动机状态、活动、环境背景和社会背景。该网站包含了说明患者自我报告状态之间相关性的反馈图表，以及教授患者行为激活概念的教学方法和工具。与临床医生的简短电话和电子邮件被用来促进依从性。我们在一项单臂试点研究中招募了8名重度抑郁症患者接受Mobilyze! and complete clinical assessments for 8 weeks. Results: Promising accuracy rates (60% to 91%) were achieved by learners predicting categorical contextual states (eg, location). For states rated on scales (eg, mood), predictive capability was poor. Participants were satisfied with the phone application and improved significantly on self-reported depressive symptoms (betaweek = –.82, P < .001, per-protocol Cohen d = 3.43) and interview measures of depressive symptoms (betaweek = –.81, P < .001, per-protocol Cohen d = 3.55). Participants also became less likely to meet criteria for major depressive disorder diagnosis (bweek = –.65, P = .03, per-protocol remission rate = 85.71%). Comorbid anxiety symptoms also decreased (betaweek = –.71, P < .001, per-protocol Cohen d = 2.58). Conclusions: Mobilyze! is a scalable, feasible intervention with preliminary evidence of efficacy. To our knowledge, it is the first ecological momentary intervention for unipolar depression, as well as one of the first attempts to use context sensing to identify mental health-related states. Several lessons learned regarding technical functionality, data mining, and software development process are discussed. Trial Registration: Clinicaltrials.gov NCT01107041; http://clinicaltrials.gov/ct2/show/NCT01107041 (Archived by WebCite at http://www.webcitation.org/60CVjPH0n) SN - 1438-8871 UR - //www.mybigtv.com/2011/3/e55/ UR - https://doi.org/10.2196/jmir.1838 UR - http://www.ncbi.nlm.nih.gov/pubmed/21840837 DO - 10.2196/jmir.1838 ID - info:doi/10.2196/jmir.1838 ER -