首页> 外国专利> COGNITIVE PLATFORM FOR DERIVING EFFORT METRIC FOR OPTIMIZING COGNITIVE TREATMENT

COGNITIVE PLATFORM FOR DERIVING EFFORT METRIC FOR OPTIMIZING COGNITIVE TREATMENT

机译:推导有效度量以优化认知处理的认知平台

摘要

Adaptive modification and presentment of user interface elements in a computerized therapeutic treatment regimen. Embodiments of the present disclosure provide for non-linear computational analysis of cData and nData derived from user interactions with a mobile electronic device executing an instance of a computerized therapeutic treatment regimen. The cData and nData may be computed according to one or more artificial neural network or deep learning technique to derive patterns between computerized stimuli or interactions and sensor data. Patterns derived from analysis of the cData and nData may be used to define an effort metric associated with user input patterns in response to the computerized stimuli or interactions being indicative of a measure of user engagement or effort. A computational model or rules engine may be applied to adapt, modify, configure or present one or more graphical user interface elements in a subsequent instance of the computerized therapeutic treatment regimen.
机译:计算机化治疗方案中用户界面元素的自适应修改和呈现。本公开的实施例提供了对cData和nData的非线性计算分析,该cData和nData源自与执行计算机化治疗方案的实例的移动电子设备的用户交互。可以根据一种或多种人工神经网络或深度学习技术来计算cData和nData,以得出计算机化的刺激或交互作用与传感器数据之间的模式。响应于计算机化的刺激或交互指示用户参与或努力的度量,从cData和nData的分析得出的模式可用于定义与用户输入模式相关联的努力量度。在计算机化治疗方案的后续实例中,可以应用计算模型或规则引擎来适应,修改,配置或呈现一个或多个图形用户界面元素。

著录项

  • 公开/公告号US2020114115A1

    专利类型

  • 公开/公告日2020-04-16

    原文格式PDF

  • 申请/专利权人 AKILI INTERACTIVE LABS INC.;

    申请/专利号US201916653997

  • 发明设计人 TITIIMAEA ALAILIMA;

    申请日2019-10-15

  • 分类号A61M21;G06N3/08;G16H20/70;

  • 国家 US

  • 入库时间 2022-08-21 11:25:54

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