湖南养老院健康小屋身体健康指数数据

通过采集健康小屋平台上湖南养老院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：
养老院：为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，采集湖南养老院的数据，完成对湖南养老院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 is developed by collecting daily health monitoring data of users served by Hunan nursing homes via the Healthy Hut platform, aiming to conduct cardiac health assessment, cardiovascular disease assessment, and comprehensively analyze individual health index with factors including body fat percentage, basal metabolism, blood viscosity, fatigue level and emotional stress as independent variables. The Healthy Hut platform helps users better understand their health status, detect potential problems in a timely manner, and provide personalized health advice and support.

This dataset is applicable for:
Nursing homes: It provides a one-stop health management solution for the elderly. Whether it is daily monitoring, disease management or rehabilitation training, personalized diet and exercise recommendations are provided to users based on the health index. Data from Hunan nursing homes is collected through the company's Healthy Hut platform to complete health detection and assessment for their service recipients. After data preprocessing, the data is input into a random forest model, and the dietary recommendation index is calculated based on the score of each factor level in the model.

The final physical health index, which integrates the prediction results of multiple decision trees, is formulated as:
= (1/N) * ∑(i=1 to N) Ti(x)

Where:
N is the number of decision trees in the random forest;
Σ(i=1 to N) represents the summation from 1 to N;
Ti(x) is the prediction output of the i-th decision tree for input x;
X is 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

数据集介绍

特点

该数据集包含湖南养老院健康小屋平台上1001条用户健康检测数据，每日更新，涵盖身高、体重、年龄、性别、心率、体脂率等14项健康指标。通过随机森林模型综合分析这些指标，生成身体健康指数，为养老院提供个性化健康管理解决方案。