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Data Conversion/Symptom Scoring

机译:数据转换/症状评分

摘要

A computer system for generating a quantitative value relating to a negative health outcome, the computer system comprising: a conversion module configured to receive multiple sets of data items associated with patients and each comprising a descriptor and the time at which that event impacted the patient. The conversion module generates a training data structure which comprises for each patient an array of selected features, each selected feature associated with a numerical value representing a score indicative of the relevance of that feature to the prediction of the negative health outcome, and a label indicating if the patient exhibits the negative health outcome; and a machine learning model which is trained using the training data structure so as to be operable to generate a quantitative value relating to a negative health outcome for a patient with at least some of the features.
机译:一种用于产生与负健康结果有关的定量值的计算机系统,该计算机系统包括:转换模块,被配置为接收与患者相关联的多组数据项,并且每个包括描述符和该事件影响患者的时间。转换模块生成训练数据结构,该训练数据结构包括每个患者的所选特征阵列,每个所选择的特征与数字值相关联,表示指示该特征与预测负健康结果的预测的分数,以及指示的标签如果患者表现出负面健康结果;和使用训练数据结构训练的机器学习模型,以便可操作以产生与至少一些特征的患者的负面健康结果有关的定量值。

著录项

  • 公开/公告号US2021089965A1

    专利类型

  • 公开/公告日2021-03-25

    原文格式PDF

  • 申请/专利权人 TPP;

    申请/专利号US202017027918

  • 申请日2020-09-22

  • 分类号G06N20;G16H10/60;G16H50/20;

  • 国家 US

  • 入库时间 2022-08-24 17:54:18

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