Research on the Application of Sports Health Management Platforms in the Precise Analysis and Intervention of Medical Data

IF 4.5 2区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Min Zhang, Qingzhen Zhang
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Abstract

Introduction

This study aims to investigate the application of exercise health management platforms in the precise analysis and intervention of medical data.

Method

Multidimensional health data from diverse populations were collected, including physiological indicators, exercise habits, nutritional intake, and lifestyle information. Utilizing machine learning and statistical analysis methods, feature extraction was conducted to identify key factors associated with health risks, and predictive models were constructed to assess individual health status and potential risks.

Results

The exercise health management platform demonstrates significant advantages in data integration and analysis. Through real-time monitoring of users’ health data, the platform is capable of promptly identifying health risks and providing targeted intervention recommendations. Following the use of this platform, users experienced an average reduction of 3.5% in body mass index (BMI), a 12% improvement in cardiopulmonary function test scores, and a 15% enhancement in mental health ratings. In terms of chronic disease management, diabetic patients exhibited notable improvements in blood glucose control, with an average decrease of 1.2 percentage points in HbA1c levels, while the blood pressure control rate among hypertensive patients increased by 20%. Additionally, the platform developed personalized exercise plans and nutritional guidance tailored to users of different age groups and health conditions.

Discussion

The exercise health management platform facilitates real-time monitoring and assessment of individual health status through precise analysis. It shows promising applications in chronic disease management, health monitoring for the elderly, and interventions for special populations, effectively reducing healthcare costs and improving the accessibility and efficiency of health services.
运动健康管理平台在医疗数据精准分析与干预中的应用研究
本研究旨在探讨运动健康管理平台在医疗数据精准分析与干预中的应用。方法收集不同人群的多维健康数据,包括生理指标、运动习惯、营养摄入和生活方式信息。利用机器学习和统计分析方法,进行特征提取,识别与健康风险相关的关键因素,构建预测模型,评估个体健康状况和潜在风险。结果运动健康管理平台在数据整合和分析方面具有显著优势。通过对用户健康数据的实时监测,该平台能够及时识别健康风险,并提供有针对性的干预建议。在使用这个平台之后,用户的身体质量指数(BMI)平均下降了3.5%,心肺功能测试分数提高了12%,心理健康评分提高了15%。在慢性病管理方面,糖尿病患者血糖控制有明显改善,HbA1c水平平均下降1.2个百分点,高血压患者血压控制率提高20%。此外,该平台还为不同年龄段和健康状况的用户量身定制了个性化的锻炼计划和营养指导。运动健康管理平台通过精准分析,实现对个人健康状况的实时监测和评估。它在慢性病管理、老年人健康监测和特殊人群干预方面显示出良好的应用前景,可有效降低医疗保健成本,提高卫生服务的可及性和效率。
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来源期刊
American Journal of Preventive Medicine
American Journal of Preventive Medicine 医学-公共卫生、环境卫生与职业卫生
CiteScore
8.60
自引率
1.80%
发文量
395
审稿时长
32 days
期刊介绍: The American Journal of Preventive Medicine is the official journal of the American College of Preventive Medicine and the Association for Prevention Teaching and Research. It publishes articles in the areas of prevention research, teaching, practice and policy. Original research is published on interventions aimed at the prevention of chronic and acute disease and the promotion of individual and community health. Of particular emphasis are papers that address the primary and secondary prevention of important clinical, behavioral and public health issues such as injury and violence, infectious disease, women''s health, smoking, sedentary behaviors and physical activity, nutrition, diabetes, obesity, and substance use disorders. Papers also address educational initiatives aimed at improving the ability of health professionals to provide effective clinical prevention and public health services. Papers on health services research pertinent to prevention and public health are also published. The journal also publishes official policy statements from the two co-sponsoring organizations, review articles, media reviews, and editorials. Finally, the journal periodically publishes supplements and special theme issues devoted to areas of current interest to the prevention community.
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