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    Systems and methods for predicting materials properties
    7.
    发明申请
    Systems and methods for predicting materials properties 失效
    用于预测材料性能的系统和方法

    公开(公告)号：US20060074594A1

    公开(公告)日：2006-04-06

    申请号：US11122942

    申请日：2005-05-04

    申请人： Gerbrand Ceder ,  Chris Fischer ,  Kevin Tibbetts ,  Dane Morgan ,  Stefano Curtarolo

    发明人： Gerbrand Ceder ,  Chris Fischer ,  Kevin Tibbetts ,  Dane Morgan ,  Stefano Curtarolo

    IPC分类号： G01N33/00

    CPC分类号： G06F19/704 ,  G06F19/707

    摘要： Systems and methods for predicting features of materials of interest. Reference data are analyzed to deduce relationships between the input data sets and output data sets. Reference data comprises measured values and/or computed values. The deduced relationships can be specified as equations, correspondences, and/or algorithmic processes that produce appropriate output data when suitable input data is used. In some instances, the output data set is a subset of the input data set, and computational results may be refined by optionally iterating the computational procedure. To deduce features of a new material of interest, a computed or measured input property of the material is provided to an equation, correspondence, or algorithmic procedure previously deduced, and an output is obtained. In some instances, the output is iteratively refined. In some instances, new features deduced for the material of interest are added to a database of input and output data for known materials.

    摘要翻译： 用于预测感兴趣的材料的特征的系统和方法。 分析参考数据以推断输入数据集和输出数据集之间的关系。 参考数据包括测量值和/或计算值。 推导的关系可以被指定为在使用合适的输入数据时产生适当输出数据的方程式，对应关系和/或算法过程。 在一些情况下，输出数据集是输入数据集的子集，并且可以通过可选地迭代计算过程来改进计算结果。 为了推导出感兴趣的新材料的特征，将材料的计算或测量输入特性提供给先前推导的等式，对应关系或算法过程，并获得输出。 在某些情况下，迭代地改进输出。 在某些情况下，为感兴趣的材料推出的新功能被添加到已知材料的输入和输出数据的数据库中。

    Medical data analysis system
    8.
    发明申请
    Medical data analysis system 审中-公开
    医疗数据分析系统

    公开(公告)号：US20050197862A1

    公开(公告)日：2005-09-08

    申请号：US11047467

    申请日：2005-01-28

    申请人： Daniel Paterson ,  Dane Morgan ,  Gerbrand Ceder ,  Stan Norton

    发明人： Daniel Paterson ,  Dane Morgan ,  Gerbrand Ceder ,  Stan Norton

    IPC分类号： G06F17/60

    CPC分类号： G06Q30/0201 ,  G06Q50/22 ,  G16H40/20

    摘要： Prediction methods including statistical and artificial intelligence methods to predict the prescribing behavior and characteristics and size of patient populations under the care of health care providers from limited data, based on processes developed on integrated medical and pharmaceutical claims data. Prescribers can be classified into groups and subgroups, and marketing recommendations can be made to organizations with interest in the drug prescriptions based on prescription data; sales force effectiveness and marketing message effectiveness products can also be developed.

    摘要翻译： 预测方法包括统计和人工智能方法，根据综合医疗和药物索赔数据开发的程序，从有限的数据预测保健提供者照顾下的患者人群的处方行为和特征和规模。 处方可以分为小组和小组，根据处方数据，可以向药物处方感兴趣的组织提供营销建议; 销售力量有效性和营销信息效果的产品也可以开发。