湖北养老院健康小屋身体健康指数数据
收藏浙江省数据知识产权登记平台2024-11-06 更新2024-11-07 收录
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资源简介:
通过采集健康小屋平台上湖北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,采集湖北养老院的数据,完成对湖北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 constructed by collecting daily health monitoring data of users served by Hubei nursing homes via the Health Cabin platform. Taking a range of indicators including cardiac health assessment, cardiovascular disease assessment, body fat percentage, basal metabolism, blood viscosity, fatigue level and emotional stress as independent variables, it comprehensively calculates individual health index. The Health Cabin platform helps users better understand their own health status, detect potential problems in a timely manner, and provide personalized health advice and support.
This data is applicable to nursing homes: It provides one-stop health management solutions for the elderly, covering daily monitoring, disease management and rehabilitation training, and delivers personalized dietary and exercise recommendations based on the generated health index. Data from Hubei nursing homes are collected through the company's Health Cabin platform to conduct health detection and assessment for their service recipients. After data preprocessing, the collected data is input into the random forest model, and the dietary recommendation index is derived based on the score values of each factor level within the model.
By integrating the prediction results of multiple decision trees, the final physical health index formula is:
= (1/N) * ∑(i=1 to N) Ti(x)
Where N is the number of decision trees in the random forest; ∑(i=1 to N) represents the summation from 1 to N; Ti(x) is the predicted output of the i-th decision tree for input x; X is the input physical indicator feature vector including height, weight, age, gender, heart rate, body fat percentage, basal metabolism, blood viscosity, emotional stress, fatigue level and cardiovascular disease assessment.
提供机构:
浙江澎城智能科技有限公司
创建时间:
2024-10-16
搜集汇总
数据集介绍

特点
该数据集包含1001条湖北养老院用户的健康检测数据,每日更新,涵盖身高、体重、心率等多项健康指标,通过随机森林模型计算身体健康指数,适用于养老院的健康管理。
以上内容由遇见数据集搜集并总结生成



