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DIGITAL REPRESENTATIONS OF PAST, CURRENT, AND FUTURE HEALTH USING VECTORS

机译:使用矢量过去,当前和未来健康的数字表示

摘要

A computing entity accesses instances of medical information corresponding to a population of patients and generates a plurality of medical sentences corresponding to the population by, for each patient of the population, generating one medical sentence corresponding to the patient and a timestamp associated with each instance such that the one medical sentence comprises one or more medical codes in a chronological order. The computing entity generates a vector dictionary comprising a plurality of multi-dimensional vectors based on a vector generation model trained using machine learning and the plurality of medical sentences with each multi-dimensional vector corresponding to a medical code. The computing entity generates a digital representation of a first patient of the population using an anagram model and the vector dictionary, determines a health state of the first patient based on the digital representation, and provides an output indicating the health state of the first patient.
机译:计算实体访问与患者群体相对应的医学信息的实例,并通过为该群体中的每个患者生成与该患者相对应的一个医学语句以及与每个实例相关联的时间戳来生成与该人群相对应的多个医学语句。一个医学句子包含一个或多个按时间顺序排列的医学代码。计算实体基于使用机器学习训练的矢量生成模型和多个医学语句来生成包括多个多维矢量的矢量字典,其中每个医学矢量对应于医学代码。计算实体使用字谜模型和向量字典来生成人口中的第一患者的数字表示,基于该数字表示确定第一患者的健康状态,并提供指示第一患者的健康状态的输出。

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