门诊流感样病例第三季度婴幼儿人数预测模型数据

针对流感样病例监测，基于桐乡各医疗机构门诊就诊记录，获取全年门急诊就诊人数、流感样病例确诊人数、年龄组及性别分布，根据年龄分为婴幼儿、少年、青年、中年、老年，五个年龄层次，筛选出第三季度婴幼儿年龄层次的门诊流感样病例人数进行预测，根据该年龄层次的人数预测，为第三季度婴幼儿人群流感防控工作及哨点医院监测工作提供新的思路和方法，并合理配置医疗资源。数据采集：从医疗机构获取匿名化样本统计数据，包括每日门急诊就诊人数、流感样病例症状人数、年龄组及性别分布。对流感样病例数据进行预处理。特征工程：生成针对年龄组大于0小于5的特征AGW_young(t) =α×age_0_5(t)，其中α为模型权重。 生成性别特征GW_young(t)，仅针对年龄组大于0小于5： GW_young(t)=γ1× male_cases_0_5(t)+γ2× female_cases_0_5(t)，其中γ1,γ2为模型权重。模型构建：构建一个专门预测年龄组大于0小于5的流感样病例人数的模型 F_young(t)=w1×C_young(t−1)+⋯+wn×C_young(t−n)+β1*AGW_young(t)+β2*GW_young(t) 其中 C_young(t)代表当天年龄组大于0小于5的流感样病例人数； C_young(t−n)为t−n日年龄组大于0小于5的流感样病例人数； wn为历史数据的权重；β1和β2是衍生特征的权重。 构建一个预测年龄组大于0小于5的流感样病例人数的模型 : sum_young_se1=∑C_young(t)，时间t在第三季度内For influenza-like illness (ILI) surveillance, based on the outpatient visit records of various medical institutions in Tongxiang, the annual number of outpatient and emergency visits, confirmed ILI cases, age group and gender distribution are collected. The population is divided into five age tiers: infants, adolescents, young adults, middle-aged adults, and elderly adults. The number of outpatient ILI cases among the infant age group in the third quarter is selected for prediction. Based on the prediction of the case number for this age group, new ideas and methods are provided for influenza prevention and control work among the infant population and sentinel hospital surveillance in the third quarter, as well as for the rational allocation of medical resources. Data Collection: Obtain anonymized sample statistical data from medical institutions, including daily outpatient and emergency visit numbers, number of ILI symptomatic cases, age group and gender distribution. Preprocess the ILI dataset. Feature Engineering: Generate the feature AGW_young(t) for the age group 0<age<5: AGW_young(t) = α × age_0_5(t), where α is the model weight. Generate the gender feature GW_young(t) exclusively for the age group 0<age<5: GW_young(t) = γ₁ × male_cases_0_5(t) + γ₂ × female_cases_0_5(t), where γ₁ and γ₂ are model weights. Model Development: Construct a model specifically for predicting the number of ILI cases in the age group 0<age<5: F_young(t) = w₁ × C_young(t−1) + ⋯ + w_n × C_young(t−n) + β₁×AGW_young(t) + β₂×GW_young(t) Where C_young(t) represents the number of ILI cases in the age group 0<age<5 on the current day; C_young(t−n) represents the number of ILI cases in the age group 0<age<5 on day t−n; w_n is the weight of historical data; β₁ and β₂ are the weights of the derived features. Construct a model for predicting the number of ILI cases in the age group 0<age<5: sum_young_se1=∑C_young(t), where time t falls within the third quarter.

搜集汇总

数据集介绍

特点

该数据集用于预测第三季度婴幼儿（0-5岁）的流感样病例人数，基于桐乡市医疗机构的门诊就诊记录，包含每日就诊人数、病例症状人数及年龄性别分布，每日更新，旨在为流感防控和医疗资源配置提供数据支持。