Construction of intelligent supervision platform for college students’ physical health for intelligent medical service decision-making

服务(商务) 医学教育 计算机科学 考试(生物学) 人口 疾病 知识管理 工程管理 心理学 医学 工程类 业务 古生物学 环境卫生 营销 生物 病理
作者
Fei Guo
出处
期刊:Frontiers in Physics [Frontiers Media SA]
卷期号:11 被引量:2
标识
DOI:10.3389/fphy.2023.1170585
摘要

Due to the rapid changes in current technology, machine learning and high-performance computing in medical applications also usher in new development opportunities. They are widely used in medical data analysis, diagnostic decision-making, disease prediction, disease assisted diagnosis, disease prognosis evaluation, new drug research and development, health management, and other fields. The impact of medical application on daily life is also increasing, which makes the use of intelligent medical service decision-making more extensive. However, with the continuous improvement and development of the population’s physical fitness, the physical fitness of university students is deteriorating. Physical decline has become a common concern. Therefore, it is of great significance to investigate the physical condition of college students and find a more suitable method to promote the physical health of college students. It helps college students better engage in learning and life, enabling them to adapt to work faster and better meet the current social development needs for college students’ physical fitness. For this reason, this paper proposes the idea of building a smart supervision platform for college students’ physical health through smart medical service decision-making. Through empirical research on this platform, it is found that the method of building the platform proposed in this paper is more conducive to the improvement of college students’ physical health. The excellent grade of freshmen in this platform is 5.4% higher than that of the traditional platform, and the excellent grade of sophomores in the test is 6.31% higher than that of the traditional platform, the excellent grade of college students’ physical health test on this platform accounts for a higher proportion. The platform provides corresponding personalized sports programs through real-time monitoring of students’ physical health, so as to realize teaching students in accordance with their aptitude, scientifically guide students’ physical exercise, and accurately improve students’ physical health. Meanwhile, research on the use of big data in sports has also led to advances in machine learning and high performance computing for medical applications, which improves their shortcomings.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
bkagyin应助ZZ张采纳,获得10
1秒前
烟花应助拼搏的曼柔采纳,获得10
1秒前
1秒前
默默的爆米花完成签到,获得积分20
1秒前
2秒前
2秒前
小鞋发布了新的文献求助10
2秒前
jiege发布了新的文献求助30
3秒前
打打应助郑qqqq采纳,获得10
3秒前
果味Vc发布了新的文献求助10
4秒前
大鱼发布了新的文献求助10
5秒前
5秒前
obito发布了新的文献求助10
5秒前
5秒前
5秒前
Orange应助ZGH采纳,获得20
5秒前
JamesPei应助开心的火龙果采纳,获得10
6秒前
英俊的铭应助狂野剑心采纳,获得10
7秒前
xiongyue发布了新的文献求助10
7秒前
三哥科研发布了新的文献求助10
7秒前
111发布了新的文献求助10
7秒前
风中的惊蛰完成签到,获得积分10
7秒前
angelinazh发布了新的文献求助150
8秒前
英姑应助航1采纳,获得10
9秒前
9秒前
瞿寒发布了新的文献求助10
9秒前
10秒前
Iceyxi完成签到,获得积分10
10秒前
wanci应助RRRCY采纳,获得10
11秒前
NexusExplorer应助wwqdd采纳,获得10
12秒前
xiongyue完成签到,获得积分20
12秒前
野火不吃折耳根完成签到,获得积分10
13秒前
ZZ张发布了新的文献求助10
14秒前
万能图书馆应助章如豹采纳,获得10
16秒前
16秒前
Ava应助北阳采纳,获得10
16秒前
jk0707完成签到 ,获得积分10
16秒前
16秒前
小黄doge完成签到,获得积分10
16秒前
17秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes 2500
Kelsen’s Legacy: Legal Normativity, International Law and Democracy 1000
Conference Record, IAS Annual Meeting 1977 610
Interest Rate Modeling. Volume 3: Products and Risk Management 600
Interest Rate Modeling. Volume 2: Term Structure Models 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3543314
求助须知:如何正确求助?哪些是违规求助? 3120695
关于积分的说明 9343843
捐赠科研通 2818781
什么是DOI,文献DOI怎么找? 1549765
邀请新用户注册赠送积分活动 722233
科研通“疑难数据库(出版商)”最低求助积分说明 713090