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SYSTEM AND METHOD FOR IDENTIFYING TRANSDIAGNOSTIC FEATURES SHARED ACROSS MENTAL HEALTH DISORDERS

机译:确定跨心理健康障碍共享的跨诊断特征的系统和方法

摘要

A system for evaluating mental health of patients includes a memory and a control system. The memory contains executable code storing instructions for performing a method. The control system is coupled to the memory and includes one or more processors. The control system is configured to execute the machine executable code to cause the control system to perform the method: A selection of answers associated with a patient is received. The selection of answers corresponds to each question in a series of questions from mental health questionnaires. Unprocessed MRI data are received. The unprocessed MRI data correspond to a set of MRI images of a biological structure associated with the patient. The unprocessed MRI data is processed to output a set of MRI features. Using a machine learning model, the selection of answers and the set of MRI features are processed to output a mental health indication of the patient.
机译:用于评估患者的心理健康的系统包括存储器和控制系统。存储器包含可执行代码,该可执行代码存储用于执行方法的指令。控制系统耦合到存储器,并且包括一个或多个处理器。控制系统被配置为执行机器可执行代码以使控制系统执行该方法:接收与患者相关联的答案的选择。答案的选择与心理健康问卷中一系列问题中的每个问题相对应。接收未处理的MRI数据。未处理的MRI数据对应于与患者相关的生物学结构的一组MRI图像。未处理的MRI数据被处理以输出一组MRI特征。使用机器学习模型,对答案的选择和MRI特征集进行处理,以输出患者的心理健康指示。

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