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IDENTIFYING AND RANKING INDIVIDUAL-LEVEL RISK FACTORS USING PERSONALIZED PREDICTIVE MODELS

机译:使用个性化的预测模型识别和分级个人风险因素

摘要

PROBLEM TO BE SOLVED: To provide a method of identifying individual-level risk factors.;SOLUTION: The method comprises identifying a set of global risk factors for a risk target from population data, and identifying, on the basis of the set of global risk factors, members from the population data having at least one clinical trait within a predetermined range of at least one clinical trait of an individual of interest. The method comprises training a personalized predictive model for the risk target on the basis of the set of global risk factors and the members from the population data having at least one clinical trait within the predetermined range. The method comprises determining, on the basis of a relevancy assessment of each of the set of global risk factors for the individual of interest, a subset of the set of global risk factors, where the subset comprises a set of individual risk factors for the individual of interest.;SELECTED DRAWING: Figure 2;COPYRIGHT: (C)2017,JPO&INPIT
机译:解决的问题:提供一种识别个人级别风险因素的方法。解决方案:该方法包括从人口数据中为风险目标识别出一组全球风险因素,并在这组全球风险的基础上进行识别这些因素包括来自人口数据的成员,其具有在感兴趣个体的至少一种临床特征的预定范围内的至少一种临床特征。该方法包括基于该组全局风险因素和来自人口数据的成员来训练针对该风险目标的个性化预测模型,该人口数据具有在预定范围内的至少一个临床特征。该方法包括基于对感兴趣个体的全球风险因子集合中的每一个的相关性评估,确定全球风险因子集合的子集,其中该子集包括针对个体的一组个体风险因子。选图:图2;版权:(C)2017,JPO&INPIT

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