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Forecasting Mood Changes from Digital Biomarkers

机译:从数字生物标志物预测情绪变化

摘要

The present invention extends to methods, systems, and computer program products for forecasting mood changes from digital biomarkers and more generally for forecasting changes in a neuropsychological clinical assessment. User interaction data indicative of a user's interaction with a mobile device is passively captured over a period of time. A function mapping (modeling a neuropsychological test for a brain health metric) is executed to compute a digital biomarker for a brain health metric from the captured user interaction data. A prior digital biomarker for the brain health metric (computed from previously captured user interaction data by executing the function mapping) is accessed. A difference is detected between the digital biomarker and the prior digital biomarker. A change in a score of the neuropsychological test score is forecast to occur within a specified time range in the future based on the detected differences. The forecast change is output.
机译:本发明扩展到用于预测来自数字生物标志物的情绪变化并且更一般地用于预测神经心理学临床评估中的变化的方法,系统和计算机程序产品。在一段时间内被动地捕获指示用户与移动设备的交互的用户交互数据。执行功能映射(为脑部健康度量建模神经心理学测试)以从捕获的用户交互数据中计算脑部健康度量的数字生物标记。访问用于大脑健康度量的现有数字生物标记(通过执行功能映射从先前捕获的用户交互数据中计算得出)。在数字生物标记和先前的数字生物标记之间检测到差异。基于检测到的差异,预测未来在指定的时间范围内会发生神经心理学测验分数的分数变化。输出预测变化。

著录项

  • 公开/公告号US2020245949A1

    专利类型

  • 公开/公告日2020-08-06

    原文格式PDF

  • 申请/专利权人 MINDSTRONG HEALTH;

    申请/专利号US201916265475

  • 发明设计人 PAUL DAGUM;

    申请日2019-02-01

  • 分类号A61B5;G16H50/50;A61B5/16;A61B5/11;

  • 国家 US

  • 入库时间 2022-08-21 11:21:10

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