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Method and system for supporting the adoption of medical decisions using mathematical models of patient presentation

机译:使用患者表现的数学模型支持采用医疗决策的方法和系统

摘要

A method for supporting medical decision making using mathematical models of patients, implemented on a server, includes: generating a training dataset containing electronic medical records of patients grouped by patient; pre-processing the data contained in the medical records of patients selected from the training dataset; converting the processed data into a sequence of medical facts with respect to each patient, using medical ontologies; automatically tagging the resulting sequence of medical facts with respect to each patient, using facts of interest extracted from the patient's medical record; training initial representations independently for each modality; training combined representations; training final models and aggregation parameters; obtaining the medical record of a patient not included in the training dataset; pre-processing the data contained in the patient medical record obtained; converting the pre-processed data into a sequence of medical facts, using medical ontologies; sending the resulting set of facts for input into the models generated; determining a diagnosis, and also conducting an analysis and predicting the most probable disease development with respect to the patient according to the set of facts presented.
机译:一种在服务器上实现的使用患者数学模型支持医疗决策的方法,该方法包括:生成包含按患者分组的患者电子病历的训练数据集;预处理从训练数据集中选择的患者的病历中包含的数据;使用医学本体将处理后的数据转换为针对每个患者的医学事实序列;使用从患者病历中提取的相关事实自动标记每个患者的医学事实序列;为每种方式独立训练初始表示;训练综合陈述;训练最终模型和集合参数;获取未包含在训练数据集中的患者的病历;预处理所获得的患者病历中包含的数据;使用医学本体将预处理数据转换为医学事实序列;发送结果事实集,以输入到生成的模型中;确定的诊断,并根据提供的事实对患者进行分析和预测最可能的疾病发展。

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