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SYSTEM AND METHOD FOR DETECTING ADVERSE MEDICATION INTERACTIONS VIA A WEARABLE DEVICE

机译:通过可穿戴设备检测不良用药相互作用的系统和方法

摘要

The present patent application relates detecting adverse medication interactions using a wearable device. In some embodiments, fall event data of a patient is obtained, the fall event data including a set of fall events experienced by the patient during a first time period. Medication data associated with the patient is also capable of being obtained. The medication data indicates a set of medications taken or prescribed to be taken by the patient during the first time period. Training data is configured to be generated for a prediction model based on the fall event data and the medication data, and the training data is capable of being provided to the prediction model. The prediction model is configured to estimate, based on the training data, a dependency between one or more medications and a risk of experiencing a fall event.
机译:本专利申请涉及使用可穿戴装置检测不良用药相互作用。 在一些实施例中,获得患者的秋季事件数据,该秋季事件数据包括患者在第一时间段期间患者经历的一组秋季事件。 与患者相关的药物数据也能够获得。 药物数据表明,在第一次期间,患者服用或开处方服用或开处方的一组药物。 培训数据被配置为基于秋季事件数据和药物数据的预测模型生成,并且训练数据能够被提供给预测模型。 预测模型被配置为基于训练数据来估计一个或多个药物之间的依赖性以及体验秋季事件的风险。

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