基于气象因素和机器学习的流感预警研究  

Study on the Early Warning of Influenza Based on Meteorological Factors and Machine Learning

作　　者：金丽珠[1] 葛辉[1] 万明[1] 王晓风[1] 杜雪杰 JIN Lizhu;GE Hui;WAN Ming;WANG Xiaofeng;DU Xuejie(Chinese Center for Disease Control and Prevention,Beijing 102206,China)

机构地区：[1]中国疾病预防控制中心,北京102206

出　　处：《医学信息学杂志》2021年第7期18-23,共6页Journal of Medical Informatics

基　　金：国家科技重大专项“基于海量多元大数据的突发急性传染病时空多尺度预测预警模型与应用示范的构建——基于突发急性传染病多元数据的云服务平台构建”(项目编号:2018ZX10201-002-001)。

摘　　要：运用机器学习方法挖掘气象因素对流感发病的影响和作用,构建流感预测预警模型.详细阐述模型构建方法及步骤,包括数据采集及预处理、特征构造和选择、具体构建,分析模型预测预警效果,为流感防治工作提供技术支持和参考.The machine learning method is used to excavate the influence and effect of meteorological factors on the occurrence of influenza,and the influenza prediction and early warning model is built.The paper expounds the methods and steps of model building in detail,including data collection and preprocessing,feature construction and selection and concrete building,analyzes the prediction and early warning effect of the model,so as to provide technical support and references for influenza prevention and control.

关 键 词：气象因素 流感 大数据 机器学习 预警 

分 类 号：R-058[医药卫生]