河南老年服务站健康小屋身体健康指数数据

通过采集健康小屋平台上河南老年服务站所服务用户的日常健康检测，完成对用户心脏健康评估，心血管疾病评估、体脂率、基础代谢、血液粘稠度、疲劳度、情绪压力等因素为自变量，综合分析个人的健康指数，健康小屋帮助用户更好地了解自己的健康状况，及时发现潜在问题，并提供个性化的健康建议和支持。
本数据适用于：
老年服务站：为社区老人提供了一站式的健康管理解决方案，无论是日常监测、疾病管理还是康复训练，通过该指数为用户提供个性化的饮食和运动的建议。通过本公司健康小屋平台，采集河南老年服务站的数据，完成对河南老年服务站服务对象的健康检测和评估；将数据预处理后，输入到随机森林模型中，根据模型中各因素水平的分值得出膳食推荐指数。
综合多棵决策树的预测结果，最终的身体健康指数公式为：
= (1/N) * ∑(i=1 to N) Ti(x)

N 是随机森林中决策树的数量；
Σ(i=1 to N) 表示从1到N的求和；
Ti(x) 是第i个决策树对输入x的预测输出；
X是输入的身体指标特征向量（身高、体重、年龄、性别、心率、体脂率、基础代谢、血液粘稠度、情绪压力、疲劳度、心血管疾病评估）。

This dataset collects routine health examination data of users served by Henan Senior Service Stations via the Health Cabin platform, takes factors including cardiac health assessment, cardiovascular disease assessment, body fat percentage, basal metabolism, blood viscosity, fatigue level and emotional stress as independent variables, and comprehensively analyzes the personal health index. The Health Cabin platform assists users in better understanding their health status, detecting potential issues in a timely manner, and providing personalized health advice and support.

This dataset is applicable to:
Senior Service Stations: Provide one-stop health management solutions for community seniors, covering routine health monitoring, disease management and rehabilitation training, and deliver personalized dietary and exercise recommendations to users based on the health index. Data from Henan Senior Service Stations is collected via our company's Health Cabin platform to conduct health examinations and assessments for the service recipients of these stations. After data preprocessing, the data is input into a random forest model, and the dietary recommendation index is calculated based on the score values of each factor level in the model.

The final physical health index formula is derived by integrating the prediction results of multiple decision trees:
= (1/N) * ∑(i=1 to N) Ti(x)

Where:
- N: the number of decision trees in the random forest;
- Σ(i=1 to N): denotes the summation from 1 to N;
- Ti(x): the prediction output of the i-th decision tree for input x;
- X: the input physical indicator feature vector (height, weight, age, gender, heart rate, body fat percentage, basal metabolism, blood viscosity, emotional stress, fatigue level, cardiovascular disease assessment).

搜集汇总

背景与挑战

背景概述

该数据集聚焦于河南省老年服务站，通过健康小屋平台采集老年人的日常健康检测数据，包括身高、体重、年龄、心率、体脂率等14项关键指标，每日更新并具有较大规模。它利用随机森林算法综合分析这些指标，生成身体健康指数，旨在为社区老人提供个性化的健康评估和建议，支持疾病管理和康复训练。