首页> 外国专利> How to apply it generates can be carried out on the prediction of medical outcomes multiple evaluates the intervention plan and perform biomarker causality validation Also simultaneously, the prediction model, the system, and the computer program product

How to apply it generates can be carried out on the prediction of medical outcomes multiple evaluates the intervention plan and perform biomarker causality validation Also simultaneously, the prediction model, the system, and the computer program product

机译:可以在预测医疗结果时执行如何生成它的方法,可以对干预计划进行多重评估,并进行生物标志物因果关系验证;同时,可以使用预测模型,系统和计算机程序产品

摘要

Methods, systems, and computer program products for developing and using predictive models for predicting medical outcomes and for evaluating intervention strategies, and for simultaneously validating biomarker causality are disclosed. According to one method, clinical data from different sources for a population of individuals is obtained. The clinical data may include different physical and demographic factors regarding the individuals and a plurality of different outcomes for the individuals. Input regarding a search space including models linking different combinations of the factors and at least one of the outcomes is received. In response to receiving the input, a search for models in the search space based on predictive value of the models with regard to the outcome is performed. The identified models are processed to produce a final model linking one of the combinations of factors to the outcome. The final model indicates a likelihood that an individual having the factors in the final model will have the outcome.
机译:公开了用于开发和使用预测模型以预测医学结果和评估干预策略以及同时验证生物标志物因果关系的方法,系统和计算机程序产品。根据一种方法,获得了来自不同来源的个体群体的临床数据。临床数据可以包括关于个体的不同的身体和人口统计学因素以及个体的多个不同的结果。接收关于搜索空间的输入,该搜索空间包括链接因子和结果至少之一的不同组合的模型。响应于接收到输入,基于模型关于结果的预测值在搜索空间中进行模型搜索。处理已识别的模型以生成最终模型,该模型将因素组合之一与结果联系起来。最终模型指示在最终模型中具有因素的个人获得结果的可能性。

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