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DISEASE PREDICTION METHOD AND APPARATUS, ELECTRONIC DEVICE, AND STORAGE MEDIUM

机译:疾病预测方法和装置,电子设备和存储介质

摘要

A disease prediction method, a disease prediction apparatus, an electronic device, and a computer-readable storage medium, relating to the technology of big data in artificial intelligence, and the method comprising: acquiring a pathology dataset of a user (S1), and a model dataset and a predictive non-linear relationship, establishing a mapping relationship between the pathology dataset and the model dataset (S3); on the basis of the mapping relationship, performing traversal matching on the pathology dataset and the model dataset to obtain a filtered dataset (S4); using a filling algorithm to perform filling on the filtered dataset to obtain a standard dataset (S5); using the predictive non-linear relationship to perform training generalization on the standard dataset to obtain a prediction dataset (S6); extracting prediction data contained in the prediction dataset (S7); and on the basis of the prediction data, determining a disease prediction result for the user (S8). The present method is able to solve the problem of low reliability in disease prediction results.
机译:疾病预测方法,疾病预测设备,电子设备和计算机可读存储介质,与人工智能大数据的技术有关,以及包括:获取用户的病理数据集(S1),以及模型数据集和预测非线性关系,在病理数据集和模型数据集之间建立映射关系(S3);在映射关系的基础上,在病理数据集和模型数据集上执行遍历匹配以获取过滤的数据集(S4);使用填充算法在过滤的数据集上执行填充以获取标准数据集(S5);使用预测的非线性关系在标准数据集上执行培训泛化以获得预测数据集(S6);提取预测数据集中包含的预测数据(S7);并且在预测数据的基础上,确定用户的疾病预测结果(S8)。本方法能够解决疾病预测结果的低可靠性问题。

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