基于行为数据的心理抑郁症状检测研究Research on psychological depression symptom detection based on behavior data
熊笑颜,陈栩,刘云花,陈艳
摘要(Abstract)：
为分析抑郁症症状与患者行为间的变化,进而跟踪和治疗疾病,文中通过对用户智能手机收集的数据分析来探索抑郁症的症状变化。通过采用两种建模方法分析患者的身体活动、睡眠以及情绪状态的特征,能够更好地预测抑郁症状的变化。通过对比发现在两种建模方法选择的特征中,存在一些共同的重要特征。并基于测量数据得到的模型对贝克抑郁量表增长进行预测,验证了该模型的准确性。
关键词(KeyWords)： 抑郁症;症状检测;行为感知;贝克抑郁量表;建模方法;情绪监测
基金项目(Foundation): 江西省教育厅科学技术研究项目(GJJ151504;GJJ151505)~~
作者(Author): 熊笑颜,陈栩,刘云花,陈艳
DOI: 10.16652/j.issn.1004-373x.2018.24.030
参考文献(References)：
- [1]陈茜,史殿习,杨若松.多维数据特征融合的用户情绪识别[J].计算机科学与探索,2016,10(6):751-760.CHEN Qian,SHI Dianxi,YANG Ruosong. User emotion recognition based on multidimensional data feature fusion[J]. Journal of frontiers of computer science&technology,2016,10(6):751-760.
- [2]张振.基于智能移动终端触屏行为的情绪识别研究[D].重庆:重庆邮电大学,2016.ZHANG Zhen. Emotional state detection from touch-based behavior on touch-screen device[D]. Chongqing:Chongqing University of Posts and Telecommunications,2016.
- [3]帅静.行为决策信息与情绪间的关系[D].西安:西北大学,2015.SHUAI Jing. Relationship between behavioral decision-making information and emotions[D]. Xi’an:Northwestern University,2015.
- [4]朱响斌,邱慧玲.基于智能手机传感器数据的人类行为识别研究[J].计算机工程与应用,2016,52(23):1-5.ZHU Xiangbin,QIU Huiling. Human activity recognition with smartphone sensor data[J]. Computer engineering and applications,2016,52(23):1-5.
- [5]郭傲.基于智能手机的个人行为特征分析系统的设计与实现[D].武汉:华中科技大学,2016.GUO Ao. Design and implementation of personal behavior feature analysis system based on smartphone[D]. Wuhan:Huazhong University of Science and Technology,2016.
- [6]熊娜.手持移动设备中基于记忆心理学的效率型服务设计研究[D].杭州:浙江大学,2012.XIONG Na. Research on efficient service design based on memory psychology for hand-held mobile device[D]. Hangzhou:Zhejiang University,2012.
- [7]沈麒.基于校园网的用户行为分析系统的设计与实现[D].苏州:苏州大学,2011.SHEN Qi. Design and implementation of user behavior analysis system based on campus network[D]. Suzhou:Soochow University,2011.
- [8]叶舒雁,张未展,齐天亮,等.一种基于传感器与用户行为数据分析的移动学习场景感知分类方法[J].计算机研究与发展,2016,53(12):2721-2728.YE Shuyan,ZHANG Weizhan,QI Tianliang,et al. A sensor and user behavior data analysis based method of mobile learning situation perception[J]. Journal of computer research and development,2016,53(12):2721-2728.
- [9]任艳.微信息大数据粗糙集的近似约简[J].沈阳工业大学学报,2016,38(3):309-313.REN Yan. Approximate reduction of micro-message big data rough set[J]. Journal of Shenyang University of Technology,2016,38(3):309-313.
- [10] LATHIA N,PEJOVIC V,RACHURI K K,et al. Smartphones for large-scale behavior change interventions[J]. IEEE pervasive computing,2013,12(3):66-73.