首页> 外文期刊>Health Psychology Open >Relapse prediction: A meteorology-inspired mobile model:
【24h】

Relapse prediction: A meteorology-inspired mobile model:

机译:复发预测:受气象启发的移动模型:

获取原文
           

摘要

Predicting relapses to binge drinking in non-dependent drinkers may now be possible with smartphones. Smartphones have been shown to help individuals reduce their drinking and may help binge drinkers accelerate that process. Predicting the weather has improved greatly over the past 50a??years, but predicting a binge drinking episode may be less difficult. It is hypothesized that the number of factors with high predictive value for any particular individual may not be large. Collecting data over time, a smartphone should be able to learn which combination of factors has a high probability of leading to an episode of binge drinking.
机译:现在,使用智能手机可以预测非依赖饮酒者暴饮暴食的复发情况。研究表明,智能手机可以帮助个人减少饮酒,并可以帮助酗酒者加快这一过程。预测过去50年来的天气已大大改善,但是预测暴饮暴食的难度可能较小。假设对任何特定个体具有高预测价值的因素可能并不多。随着时间的推移收集数据,智能手机应该能够了解哪些因素组合极有可能导致暴饮暴食。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号