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EVENT OCCURRENCE TIME PREDICTION DEVICE, EVENT OCCURRENCE TIME PREDICTION METHOD, AND EVENT OCCURRENCE TIME PREDICTION PROGRAM

机译:事件发生时间预测装置,事件发生时间预测方法和事件发生时间预测程序

摘要

PROBLEM TO BE SOLVED: To provide a method for highly accurately predicting an occurrence time of an event, such as development of a specific disease, death, or the like, by using a huge volume of analysis results of clinical tests.SOLUTION: The event occurrence time prediction device comprises: input means to which one or a plurality of types of first analysis results obtained from a first analysis object are input; and processing means that executes a step of calculating a score indicating a possibility of occurrence of an event in the first analysis object within a predetermined period from acquisition of the first analysis results, on the basis of the first analysis results input in the input means. The score is obtained through machine learning that uses one or a plurality of types of second analysis results obtained from a second analysis object for which occurrence of an event is known, before the occurrence of the event, and a lapse time from acquisition of the second analysis results to occurrence of the event in the second analysis object, and uses, as teacher data, whether or not the time of the acquisition of the second analysis results and the time of the occurrence of the event exist in the predetermined period.SELECTED DRAWING: None
机译:要解决的问题:提供一种通过使用大量临床试验分析结果来高度准确地预测事件发生时间(例如特定疾病的发展,死亡等)的方法。发生时间预测装置包括:输入装置,将从第一分析对象获得的一种或多种类型的第一分析结果输入到该输入装置;处理装置根据输入到输入装置中的第一分析结果,执行计算表示从获取第一分析结果起的预定期间内的第一分析对象中发生事件的可能性的得分的步骤。分数是通过机器学习获得的,该机器学习使用从已知事件发生的第二分析对象获得的一种或多种类型的第二分析结果,在事件发生之前以及从获取第二事件开始起经过的时间分析结果到事件在第二分析对象中的发生,并且使用教师数据,在预定时间段内是否存在获取第二分析结果的时间和事件的发生时间。 : 没有

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