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1. 发明申请

US20140236621A1 METHOD FOR DETERMINING A PREDICTIVE FUNCTION FOR DISCRIMINATING PATIENTS ACCORDING TO THEIR DISEASE ACTIVITY STATUS 审中-公开
标题翻译：用于确定根据其疾病活动状态判断患者的预测功能的方法
公开(公告)号：US20140236621A1
公开(公告)日：2014-08-21
申请号：US14347089
申请日：2012-09-26
申请人： Centre National de la Recherche Scientifique (CNRS) , Universite Pierre Et Marie Curie (Paris 6)
发明人： Adrien Six , Wahiba Chaara , David Klatzmann , Yves Allenbach , Olivier Benveniste , Patrice Cacoub , David Saadoun , Benjamin Terrier
IPC分类号： G06F19/00
CPC分类号： G16H50/50 , G01N33/6893 , G01N2800/56
摘要： The invention relates to a method for determining a predictive function for discriminating patients according to their disease activity status, comprising steps of: a—measuring values of biological markers for each patient of a first group of patients having a first known disease activity status, and for each patient of a second group of patients having a second known disease activity status, the measured values forming a dataset b—analyzing the dataset for identifying biological markers which are differentially expressed between the first group of patients and the second group of patients, c—among the biological markers identified at step b, determining correlated markers as markers which are correlated with other markers above a predetermined significance level, d—removing from the dataset, values measured for a biological marker identified as correlated marker, e—analyzing the dataset obtained at step d for determining a predictive function that predicts a disease activity status of a patient as a combination of values of biological markers, f—evaluating an accuracy index associated with the predictive function determined at step e, g—repeating steps d to f by selectively removing from the dataset, values measured for one or several biological marker(s) identified as correlated marker(s), so as to gradually decrease the number of biological markers in the combination of value until the accuracy index reaches an expected level.
摘要翻译：本发明涉及一种用于根据其疾病活动状况确定用于鉴别患者的预测功能的方法，包括以下步骤：a测量具有第一已知疾病活动状态的第一组患者的每个患者的生物标志物的值，以及对于具有第二已知疾病活动状态的第二组患者的每个患者，形成数据集的测量值b-分析数据集以识别在第一组患者与第二组患者之间差异表达的生物标志物，c - 在步骤b鉴定的生物学标记，确定相关标记作为与预定显着性水平以上的其他标志相关的标记，从数据集中去除d，从被识别为相关标记的生物学标记测量的值，e-分析数据集在步骤d获得用于确定预测疾病活动的预测功能作为生物学标记值的组合的患者的状态，f评估与在步骤e确定的预测函数相关联的精确度指数，g-重复步骤d至f，通过从数据集中选择性地除去测量的一种或几种生物识别为相关标记的标记，以便逐渐减少数值组合中的生物标志物的数量，直到准确度指数达到预期水平。

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