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The method of forming a mathematical model of the patient using artificial intelligence technology

机译:利用人工智能技术建立患者数学模型的方法

摘要

The present technical solution relates to the field of artificial intelligence, and more particularly to methods for generating mathematical models of patients. The present method for generating mathematical models of a patient using artificial intelligence technologies includes the following steps: obtaining, on a server, a training dataset containing electronic medical records of patients grouped by patient; pre-processing, on the server, the data contained in the medical records of patients; converting, on the server, the processed data into a sequence of medical facts with respect to each patient, using medical ontologies; automatically tagging, on the server, the resulting sequence of medical facts with respect to each patient, using diagnoses or other facts of interest extracted from the patient's medical record; training, on the server, initial representations independently for each modality; training, on the server, combined representations; training, on the server, final models and aggregation parameters; obtaining, on the server, the medical record of a patient not included in the training dataset; pre-processing, on the server, the data contained in the patient medical record obtained; converting, on the server, the pre-processed data into a sequence of medical facts, using medical ontologies; generating, on the server, a vector representation of the patient.
机译:本技术方案涉及人工智能领域,尤其涉及一种生成患者数学模型的方法。用于使用人工智能技术生成患者的数学模型的本方法包括以下步骤:在服务器上获得包含按患者分组的患者的电子病历的训练数据集;在服务器上预处理患者病历中包含的数据;在服务器上,使用医学本体将处理后的数据转换成针对每个患者的一系列医学事实;使用从患者病历中提取的诊断或其他感兴趣的事实,在服务器上自动标记每个患者的医学事实的结果序列;在服务器上针对每种方式独立训练初始表示;在服务器上训练组合表示;在服务器上培训最终模型和聚合参数;在服务器上获得训练数据集中未包括的患者的病历;在服务器上预处理所获得的患者病历中包含的数据;使用医学本体在服务器上将预处理后的数据转换为一系列医学事实;在服务器上生成患者的矢量表示。

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