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相关概念视频

Behavior Modification01:21

Behavior Modification

139
Behavioral approaches have often been criticized for ignoring mental processes and focusing solely on observable behavior. However, these approaches provide an optimistic perspective for individuals seeking to change their behaviors. Rather than concentrating on intrinsic personality traits, behavioral approaches suggest that even longstanding habits can be modified by changing the reward contingencies that maintain them.
A real-world application of operant conditioning principles is applied...
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Stress Prevention and Stress Management Techniques VI01:30

Stress Prevention and Stress Management Techniques VI

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Adopting a healthier lifestyle often requires overcoming significant challenges, but leveraging psychological, social, and cultural resources can facilitate meaningful change. Effective self-change hinges on understanding and applying key tools such as motivation and goal setting, which help sustain efforts toward long-term health benefits.
Motivation and Self-Determination
Motivation, the driving force behind behavior, plays a pivotal role at every stage of the change process. The research...
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Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
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Models of Health Promotion and Illness Prevention I01:25

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A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
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Self-Help Support Groups01:28

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Self-help support groups are voluntary, community-based organizations that provide a platform for individuals with shared concerns to exchange support, insights, and practical strategies for coping with life challenges. Typically led by group members or paraprofessionals, these groups form a cornerstone of mental health care, especially in reaching populations that are underserved by traditional healthcare systems.
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Using Continuous Data Tracking Technology to Study Exercise Adherence in Pulmonary Rehabilitation
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使用机器学习预测对行为变化支持系统的坚持:系统审查.

Akon Obu Ekpezu1, Isaac Wiafe2, Harri Oinas-Kukkonen1

  • 1Oulu Advanced Research on Service and Information Systems, Department of Information Processing Science, University of Oulu, Oulu, Finland.

JMIR AI
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概括
此摘要是机器生成的。

机器学习准确地预测用户对行为变化支持系统 (BCSSs) 的坚持. 这使得个性化干预成为可能,通过克服自我报告的坚持数据的局限性来改善健康结果.

关键词:
坚持性 坚持性行为改变支持系统 行为改变支持系统符合合规性的合规性是什么机器学习是机器学习.说服力系统是说服力系统.具有说服力的技术.

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科学领域:

  • 数字健康数字健康
  • 机器学习应用 机器学习应用
  • 行为科学 行为科学

背景情况:

  • 对于行为变化支持系统 (BCSS) 存在有限的可靠依从性预测措施.
  • 现有的审查侧重于自我报告,这容易导致遵守行为的不准确性.
  • 需要客观和准确的方法来预测坚持.

研究的目的:

  • 系统地审查和总结用于预测遵守BCSS的机器学习 (ML) 方法.
  • 识别用于粘附预测的ML应用中的趋势.
  • 评估ML模型在这个领域的有效性.

主要方法:

  • 在Scopus和PubMed的系统文献搜索 (2011年1月 - 2022年8月).
  • 从最初的2182篇论文中包含11项符合条件的研究.
  • 分析已识别的机器学习技术和遵守类别.

主要成果:

  • 确定了四个遵守类别:数字干预,药物,体力活动和饮食.
  • 实时依从性预测的机器学习是一个不断增长的研究领域.
  • 使用了13种监督学习技术,主要是传统的 (例如,支持矢量机);先进的技术包括LSTM,多层感知和集体学习.
  • 大多数模型实现了良好的分类准确性,表明了有效的特征选择.

结论:

  • 机器学习算法可以预测用户在BCSS中的坚持.
  • 预测模型促进了坚持行为强化.
  • 智能BCSS的开发与个性化,及时的建议是通过ML实现的.