公开(公告)号：US20140195170A1

公开(公告)日：2014-07-10

申请号：US14151383

申请日：2014-01-09

Applicant: General Electric Company

Inventor： Gopal Avinash ,  Ananth Mohan ,  Zhongmin Lin ,  Rick Wascher

IPC: G01N33/15

CPC classification number: G01N33/15 ,  G06F19/3456 ,  G16C20/50 ,  G16C20/70 ,  G16C20/80 ,  G16H50/70

Abstract: Certain examples provide systems and methods for holistic viewing to provide comparative analysis and decision support in a drug development process. An example method includes a computer-implemented method for assessing drug efficacy, comprising: accessing a first data set related to the performance of a target drug for a given indication; accessing a second data set related to a control for the indication; comparing the data for the target drug and the data for the control on at least one of a plurality of different metrics using a holistic analysis, wherein the at least one metric corresponds to an outcome associated with the indication and generating a corresponding report. An example apparatus/system includes a holistic analysis and viewing system to support the assessment of drug efficacy, said system comprising: a standardizer to at least one of standardize and normalize data related to drug development; a deviation analyzer to analyze said data based on at least one of a plurality of different efficacy metrics, wherein a quantified variation between a first data set of results corresponding to an identified target drug and a second data set of results corresponding to a control, wherein said first data set of results is provided for comparison with the second data set of results and the deviation therebetween is compared to the at least one efficacy metric.

Abstract translation: 某些例子提供了整体观察的系统和方法，以在药物开发过程中提供比较分析和决策支持。 示例性方法包括用于评估药物功效的计算机实现的方法，包括：访问与给定指示的目标药物的性能相关的第一数据集; 访问与所述指示的控制相关的第二数据集; 使用整体分析来比较目标药物的数据和用于多个不同度量中的至少一个的用于控制的数据，其中所述至少一个度量对应于与所述指示相关联的结果并生成相应的报告。 示例性装置/系统包括支持药物功效评估的整体分析和观察系统，所述系统包括：标准化器，其至少一个标准化和归一化与药物开发有关的数据; 偏差分析器，用于基于多个不同功效度量中的至少一个来分析所述数据，其中对应于所识别的目标药物的第一结果数据集与对照于对照的结果的第二数据集之间的量化变化，其中 提供所述第一数据结果数据集用于与第二数据结果集进行比较，并且将它们之间的偏差与至少一个功效度量进行比较。