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METHOD FOR INTEGRATING AND FUSING HETEROGENEOUS DATA TYPES TO PERFORM PREDICTIVE ANALYSIS

机译:整合和融合异构数据类型以进行预测分析的方法

摘要

A method and system for predicting the onset of a disease is provided. According to one example, the method includes receiving patient data including a first input sample of a first data type and a second input sample of a second data type, the first data type including discrete data and the second data type including continuous data, receiving a training data set including a first plurality of training samples of the first data type and a corresponding second plurality of training samples of the second data type, providing the first input sample and the first plurality of training samples to a first kernel function of a multiple kernel decision function, providing the second input sample and the second plurality of training samples to a second kernel function of the multiple kernel decision function, performing at least one calculation using the multiple kernel decision function to produce at least one result, and determining a probability of whether the patient data indicates that the patient will develop the disease based on the at least one result of the multiple kernel decision function.
机译:提供了一种用于预测疾病发作的方法和系统。根据一个示例,该方法包括:接收包括第一数据类型的第一输入样本和第二数据类型的第二输入样本的患者数据,该第一数据类型包括离散数据,该第二数据类型包括连续数据,训练数据集,包括第一数据类型的第一多个训练样本和第二数据类型的相应的第二多个训练样本,将第一输入样本和第一多个训练样本提供给多核的第一核函数决策函数,将第二输入样本和第二多个训练样本提供给多核决策函数的第二核函数,使用多核决策函数执行至少一个计算以产生至少一个结果,并确定概率患者数据是否基于以下至少一项结果指示患者会发展疾病:多核决策函数。

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