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Determining a risk score using a predictive model and medical model data

机译:使用预测模型和医疗模型数据确定风险分数

摘要

Methods and apparatus, including computer program products, implementing and using techniques for text analysis of medical study data to extract predictive data. Natural language processing is performed on a document in a collection of documents to determine whether the document contains medical model data. In response to determining that the document contains medical model data, content relating to the medical model data in the document is annotated. A first medical model is generated based on the annotations for the identified medical model data and a certainty threshold In response to the certainty threshold meeting a user setting, the first medical model is added to a predictive model for determining a risk score, based on the analyzed data.
机译:方法和装置,包括计算机程序产品,实现和使用医学研究数据的文本分析技术来提取预测数据。在文件集合的文档上执行自然语言处理,以确定文档是否包含医疗模型数据。响应于确定文档包含医疗模型数据,注释了与文档中的医疗模型数据相关的内容。基于所识别的医疗模型数据的注释生成第一医疗模型以及响应于满足用户设置的确定性阈值确定的确定性阈值,第一个医疗模型被添加到预测模型中,以确定风险分数,基于分析数据。

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