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Personalized risk prediction based on intrinsic and extrinsic factors

机译:基于内在和外在因素的个性化风险预测

摘要

Systems, computer-implemented methods and/or computer program products that facilitate predicting personalized risks based on intrinsic factors and extrinsic factors are provided. In one example, a computer-implemented method comprises: collecting, by a system operatively coupled to a processor, intrinsic factors and extrinsic factors associated with infectious diseases; generating, by the system, a probabilistic model based on the intrinsic factors and extrinsic factors, wherein the model incorporates node characteristics into infection probability; and refining, by the system, the model through concurrently learning respective node thresholds and hidden infection network structure of the model.
机译:提供了有助于预测基于内在因素和外在因素的个性化风险的系统,计算机实现的方法和/或计算机程序产品。 在一个示例中,计算机实现的方法包括:通过可操作地耦合到处理器,内在因素和与传染病相关的内在因子的系统收集; 通过系统基于内在因素和外在因素的概率模型产生概率模型,其中该模型将节点特征掺入感染概率; 通过系统,通过同时学习各个节点阈值和模型的隐藏感染网络结构来精炼模型。

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