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公开(公告)号：US10853900B2
公开(公告)日：2020-12-01
申请号：US12638847
申请日：2009-12-15
申请人： Jun Hua , Hui Zhu , Catherine V. Orate-Pott , David Shellenberger , Deonadayalan Narayanaswamy , Niranjan A. Shetty
发明人： Jun Hua , Hui Zhu , Catherine V. Orate-Pott , David Shellenberger , Deonadayalan Narayanaswamy , Niranjan A. Shetty
摘要： Data characterizing an individual is received. Thereafter, one or more variables are extracted from the data so that, using a predictive model populated with the extracted variables, a likelihood of the individual adhering to a treatment regimen can be determined. The predictive model is trained on historical treatment regimen adherence data empirically derived from a plurality of subjects. Subsequently, data characterizing the determined likelihood of adherence can be promoted. Related apparatus, systems, techniques and articles are also described.
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公开(公告)号：US20100205008A1
公开(公告)日：2010-08-12
申请号：US12638847
申请日：2009-12-15
申请人： Jun Hua , Hui Zhu , Catherine V. Orate-Pott , David Shellenberger , Deonadayalan Narayanaswamy , Niranjan A. Shetty
发明人： Jun Hua , Hui Zhu , Catherine V. Orate-Pott , David Shellenberger , Deonadayalan Narayanaswamy , Niranjan A. Shetty
CPC分类号： G06Q50/24 , G06F19/3456 , G06Q50/22 , G16H50/50
摘要： Data characterizing an individual is received. Thereafter, one or more variables are extracted from the data so that, using a predictive model populated with the extracted variables, a likelihood of the individual adhering to a treatment regimen can be determined. The predictive model is trained on historical treatment regimen adherence data empirically derived from a plurality of subjects. Subsequently, data characterizing the determined likelihood of adherence can be promoted. Related apparatus, systems, techniques and articles are also described.
摘要翻译： 接收个人的数据表征。 此后，从数据中提取一个或多个变量，使得使用填充有提取的变量的预测模型，可以确定个体遵守治疗方案的可能性。 对从多个受试者经验导出的历史治疗方案依从性数据训练预测模型。 随后，可以促进确定所确定的遵守可能性的数据。 还描述了相关设备，系统，技术和物品。
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