首页> 外国专利> METHOD FOR CREATING A PREDICTIVE MODEL FOR PREDICTING GLAUCOMA RISK IN A SUBJECT, METHOD FOR DETERMINING GLAUCOMA RISK IN A SUBJECT USING SUCH PREDICTIVE MODEL, DEVICE FOR PREDICTING GLAUCOMA RISK IN A SUBJECT, COMPUTER PROGRAM AND COMPUTER READABLE MEDIUM

METHOD FOR CREATING A PREDICTIVE MODEL FOR PREDICTING GLAUCOMA RISK IN A SUBJECT, METHOD FOR DETERMINING GLAUCOMA RISK IN A SUBJECT USING SUCH PREDICTIVE MODEL, DEVICE FOR PREDICTING GLAUCOMA RISK IN A SUBJECT, COMPUTER PROGRAM AND COMPUTER READABLE MEDIUM

机译:用于预测用于预测对象的青光眼风险的预测模型的方法,使用这种预测模型,用于预测对象,计算机程序和计算机可读介质中的青光眼风险的装置确定青光眼风险的方法

摘要

The invention relates to a method (100) for creating a predictive model for predicting glaucoma risk in a subject, the method comprising: a step of creating a diagnostic model comprising, for each one of a plurality of subjects: recording (s101a) a 24-hour profile of eyeball parameters; dividing (s102a) the recorded 24-hour profile of eyeball parameters at least into subperiods: an initial subperiod (START-TP1); a subperiod preceding assuming a horizontal position for sleep (TP1-SLEEP); a subperiod following assuming a horizontal position for sleep (SLEEP-TP2); a subperiod preceding assuming a vertical position after sleep (TP2-WAKE); a subperiod following assuming a vertical position after sleep (WAKE-TP3) and a final subperiod (TP3-END); determining (s103a), in each subperiod, features describing a single subject in the form of at least one aggregating attribute; creating (s104) a record containing the determined features describing a single subject; assigning (s105) a label indicating a diagnosis (diseased/healthy) made by a physician to the created record. Furthermore, the method includes a step of creating a predictive model, based on a set of records created for the plurality of subjects, using supervised machine learning mechanisms based on one or more algorithms selected at least from regression algorithms, decision trees, Bayesian algorithms, ensemble algorithms and support vector-based algorithms.;Furthermore, the invention relates to a method for determining glaucoma risk in a subject, the method comprising creating, for a patient to be examined, a record containing the same feature set as the one created in the step (s104) of the method (100) for creating a predictive model and determining an allocation of the subject to a group of diseased or healthy subjects with determined probability using the predictive model created according to the method for creating a predictive model.;Furthermore, the invention relates to a device for predicting glaucoma in a subject, comprising means for performing methods according to the invention, and relates to a computer program comprising a program code for performing method steps according to the invention and to a computer readable medium on which the computer program is stored.
机译:本发明涉及一种用于创建用于预测用于预测对象的青光眼风险的预测模型的方法(100),该方法包括:用于为多个对象中的每个对象中的每一个创建诊断模型的步骤:记录(S101a)a 24 - 眼球参数的轮廓;将(S102a)分割(S102a)的眼球参数的记录的24小时轮廓至少在亚主偶联中:初始子主周期(start-tp1);假设睡眠水平位置的前面的子主机(TP1睡眠);假设睡眠水平位置之后的子绝缘(睡眠TP2);在睡眠之后的垂直位置之前的子超主体(TP2-kew);假设睡眠后的垂直位置(Wake-TP3)和最终子超主体(TP3-END)之后的子绝缘层;在每个子主机中确定(S103a),在至少一个聚合属性的形式中描述单个对象的特征;创建(S104)包含描述单个主题的所确定的功能的记录;分配(S105)一种标签,其标记显示由医生制作的诊断(患病/健康)到创建的记录。此外,该方法包括基于为多个受试者创建的一组记录来创建预测模型的步骤,该方法基于至少从回归算法,决策树,贝叶斯算法,决策树,贝叶斯算法中选择的一个或多个算法来使用监督机器学习机制集合算法和基于向量的算法。此外,本发明涉及用于确定对象中的青光眼风险的方法,该方法包括为要检查的患者创建的方法,该记录包含与所创建的患者相同的特征集的记录方法(100)的步骤(S104),用于创建预测模型并使用根据根据用于创建预测模型的方法创建的预测模型,确定对受试者的一组患病或健康受试者的分配给受试者的分配。此外,本发明涉及一种用于预测对象中青光眼的装置,包括用于执行根据本发明的方法的装置,a ND涉及一种计算机程序,该计算机程序包括用于根据本发明的方法步骤的程序代码和存储计算机程序的计算机可读介质。

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