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METHODS AND SYSTEMS FOR PROVIDING DIGITAL THERAPEUTICS FOR TREATING MENTAL HEALTH DISORDERS USING MACHINE LEARNING

机译:使用机器学习提供数字治疗性能治疗心理健康障碍的方法和系统

摘要

A system and method for developing a treatment plan using multi-stage machine learning. A method includes identifying at least one cognitive distortion of a user by applying a first machine learning model to a first portion of features extracted from data related to the user, wherein the first machine learning model is a cognitive distortions model trained using training user-created content; determining a plurality of digital therapeutics exercise tasks for the user based on the at least one cognitive distortion by applying a second machine learning model to a second portion of the features extracted from the data related to the user and to the output of the first machine learning model, wherein the second machine learning model is a task recommender model trained using training cognitive distortions and the training user-created content; and generating a treatment plan including the plurality of digital therapeutics exercise tasks for the user.
机译:利用多级机器学习开发治疗计划的系统和方法。 一种方法包括通过将第一机器学习模型应用于从与用户相关的数据中提取的第一部分的第一部分特征识别用户的至少一个认知失真,其中第一机器学习模型是使用训练用户创建训练的认知失真模型 内容; 通过将第二机器学习模型应用于从与用户提取的数据提取的特征的第二部分和第一机器学习的输出来确定用于基于至少一个认知失真的用户基于至少一个认知失真来确定用户的多个数字治疗锻炼任务 模型,其中第二机器学习模型是使用培训认知扭曲和培训用户创建的内容训练的任务推荐模型; 并产生包括用户的多个数字治疗性的治疗计划。

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