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Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
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使用随机森林来预测使用基线和早期使用数据对抑郁症在线干预的坚持:模型开发和对回顾性例行护理日志数据的验证

Franziska Wenger1, Caroline Allenhof2, Simon Schreynemackers3

  • 1Clinic for Psychiatry, Psychosomatics and Psychotherapy, University Hospital, Goethe University Frankfurt, Frankfurt am Main, Germany.

JMIR formative research
|November 15, 2024
PubMed
概括

早期用户参与在线抑郁工具是坚持的关键. 分析第一周的使用行为可以比人口统计学更好地预测遵守,从而实现针对性干预,以获得更好的结果.

关键词:
坚持性 坚持性抑郁 抑郁症 抑郁症 抑郁症 是一种数字干预的数字干预如果FDD是IFD,那么它就是IFD.iFight 抑郁症的战斗机器学习是机器学习.在线干预在线干预随机的森林随机的森林

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