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Machine-learning based query construction and pattern identification

机译:基于机器学习的查询施工和模式识别

摘要

A method, computer program product, and system identifying a probability of a medical condition in a patient. The method includes a processor obtaining data set(s) related to a patient population diagnosed with a medical condition and based on a frequency of features in the data set(s), identifying common features. The processor generates pattern(s) including a portion of the common features to generate a machine learning algorithm(s). The processor compiles a training set of data to use to tune the machine learning algorithm(s). The processor dynamically adjusts common features in the pattern(s) such that the machine learning algorithm(s) can distinguish patient data indicating the medical condition from patient data not indicating the medical condition. The processor applies the machine learning algorithm(s) to data related to the undiagnosed patient, to determine the probability.
机译:一种方法,计算机程序产品和系统识别患者在患者中的医疗状况的概率。 该方法包括获取与诊断有医疗条件的患者群体相关的数据集,并基于数据集中的特征频率,识别公共特征。 处理器生成包括一部分共同特征的模式以产生机器学习算法。 处理器编译一组培训数据以用于调整机器学习算法。 处理器动态地调整模式中的公共特征,使得机器学习算法可以区分指示医疗条件的患者数据,从不指示医疗状况。 处理器将机器学习算法应用于与未确诊的患者相关的数据,以确定概率。

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