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1.发明授权System and method for estimation of missing data in a multivariate longitudinal setup 有权用于估计多变量纵向设置中缺失数据的系统和方法公开(公告)号：US08788291B2
公开(公告)日：2014-07-22
申请号：US13403693
申请日：2012-02-23
摘要： A method for estimating values of missing data in partial sets of medical data includes generating a Gaussian mixture with a time-varying mean and time and lag varying covariances. The method generates the estimate for a missing datum with the Gaussian distribution having a selected mean and covariance corresponding to the time of the missing datum. An estimate of the missing datum is generated with reference to the mean of the Gaussian distribution conditioned on other medical data that are observed at the time of the missing datum.
摘要翻译： 用于估计部分医疗数据集中的缺失数据值的方法包括：产生具有随时间变化的平均值和时间和滞后变化协方差的高斯混合。 该方法生成具有高斯分布的缺失数据的估计，具有与缺失数据的时间相对应的选择的平均值和协方差。 参考基于在缺失基准时观察到的其他医学数据的高斯分布的平均值来生成丢失的数据的估计。
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2.发明申请System and Method for Estimation of Missing Data in a Multivariate Longitudinal Setup 有权用于多变量纵向设计中缺失数据估计的系统和方法公开(公告)号：US20130226613A1
公开(公告)日：2013-08-29
申请号：US13403693
申请日：2012-02-23
摘要： A method for estimating values of missing data in partial sets of medical data includes generating a Gaussian mixture with a time-varying mean and time and lag varying covariances. The method generates the estimate for a missing datum with the Gaussian distribution having a selected mean and covariance corresponding to the time of the missing datum. An estimate of the missing datum is generated with reference to the mean of the Gaussian distribution conditioned on other medical data that are observed at the time of the missing datum.
摘要翻译： 用于估计部分医疗数据集中的缺失数据值的方法包括：产生具有随时间变化的平均值和时间和滞后变化协方差的高斯混合。 该方法生成具有高斯分布的缺失数据的估计，具有与缺失数据的时间相对应的选择的平均值和协方差。 参考基于在缺失基准时观察到的其他医学数据的高斯分布的平均值来生成丢失的数据的估计。
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