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广东健身中心健康小屋身体健康指数数据

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浙江省数据知识产权登记平台2024-11-02 更新2024-11-03 收录
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资源简介:
通过采集健康小屋平台上广东健身中心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: 健身中心:为健身人员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,采集广东健身中心的数据,完成对广东健身中心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、BMI、体脂率、基础代谢、收缩压、血液粘稠度、血清总胆固醇、糖尿病、吸烟、情绪压力、疲劳度)。

This dataset is constructed by collecting daily health monitoring data of users served by Guangdong fitness centers via the Health Cabin platform. Taking factors such as cardiac health assessment, cardiovascular disease assessment, body fat percentage, basal metabolism, blood viscosity, fatigue level and emotional stress as independent variables, it comprehensively analyzes the individual's health index. The Health Cabin 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: Fitness centers: They can provide one-stop health management solutions for fitness practitioners, covering daily monitoring, disease management and rehabilitation training, and offer personalized diet and exercise recommendations to users based on the health index. Data of Guangdong fitness centers are collected through the company's Health Cabin platform to complete health detection and assessment for their service recipients. After data preprocessing, the data is input into the Random Forest model, and the diet recommendation index is derived based on the score of each factor level in the model. The final physical health index formula, which integrates the prediction results of multiple decision trees, is: = (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 predicted output of the i-th decision tree for input x; X is the input physical indicator feature vector (height, weight, age, gender, heart rate, BMI, body fat percentage, basal metabolism, systolic blood pressure, blood viscosity, serum total cholesterol, diabetes, smoking, emotional stress, fatigue level).
提供机构:
浙江澎城智能科技有限公司
创建时间:
2024-10-09
搜集汇总
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特点
广东健身中心健康小屋身体健康指数数据集包含1001条用户健康检测记录,每日更新,涵盖多项健康指标,通过随机森林模型分析,为用户提供个性化的健康评估和建议。
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