The construction of college students' sports health management service platform based on artificial intelligence

2021 ◽  
Author(s):  
Yu Zhang
Keyword(s):  
Artificial Intelligence ◽  
College Students ◽  
Health Management ◽  
Management Service ◽  
Service Platform

scholarly journals Construction of College Students’ Physical Health Data Sharing System Based on Django Framework

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Hui-chao Li ◽  
Shun-fa Shen
Keyword(s):  
College Students ◽  
Physical Health ◽  
Data Sharing ◽  
Exercise Intervention ◽  
Health Management ◽  
Implementation Process ◽  
Health Data ◽  
Living Environment ◽  
Management Service ◽  
Athletic Ability

In view of the current situation of college students’ physical health affected by the learning environment and living environment, which leads to the low level of students’ physical health and the lack of understanding of students’ physical health, this paper puts forward the construction of college students’ physical health data sharing system based on Django framework. By analyzing the feasibility of constructing the data sharing system of college students’ physical health, this paper constructs the organizational framework of the data sharing system of college students’ physical health and constructs the data sharing system of college students’ physical health according to the implementation process of the data sharing system of college students’ physical health management service. Through the student’s physical health test on education intervention and exercise intervention, it is concluded that college students’ physical health data sharing system based on the Django framework can cultivate students’ interest in sports and improve their athletic ability and physical fitness.

scholarly journals Long-Term Assessment of Rehabilitation Treatment of Sports through Artificial Intelligence Research

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Chaofan Zeng ◽  
Ying Huang ◽  
Longer Yu ◽  
Qingmei Zeng ◽  
Bijun Wang ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Blood Pressure ◽  
Blood Glucose ◽  
Health Management ◽  
Blood Lipid ◽  
Practical Significance ◽  
Control Group ◽  
Management Service ◽  
Observation Group

Background. Artificial intelligence (AI) technology has been incorporated into all walks of life, especially the integration of machine learning and health management has achieved very significant progress and results. It is very necessary to analyze personalized sports health management services and long-term assessment of health issues in the era of AI. Methods. This paper explores AI + personalized sports management service system design ideas, system operation process, management stage design, taking common chronic diseases, and diabetes as examples. 150 patients were divided into an observation group and a control group, and the blood glucose, blood pressure, blood lipid, and knowledge awareness rate were compared. Results. The blood glucose, blood pressure, and blood lipid levels of the observation group all reduced, and the awareness rate of diabetes knowledge increased, which proved that the AI research has great value in sports rehabilitation research coupled with long term health assessment and is worth further research. Conclusion. The AI research proposed in this paper is of far-reaching practical significance in helping the transformation and upgrading of the sports health management service industry, promoting the innovative development of sports health management service supply, and promoting national fitness and national health.

An Application Research of Hierarchical Health Management Service Model in Family Sickbeds

2020 ◽  
Vol 2 (3) ◽  
pp. 101-116
Author(s):  
Ceng Guoqing ◽  
Yan An ◽  
Ou Jia ◽  
Jiang Lihui ◽  
Pan Xingliang ◽  
...  
Keyword(s):  
Health Management ◽  
Management Service ◽  
Application Research ◽  
Service Model

scholarly journals THE PATH OF IMPROVING CHINESE YOUTH'S PHYSICAL HEALTH FROM THE PERSPECTIVE OF PUBLIC SPORTS SERVICE

2021 ◽  
Vol 27 (spe) ◽  
pp. 91-93
Author(s):  
Yun Li ◽  
Dongqin Huang
Keyword(s):  
Physical Health ◽  
Index System ◽  
Public Management ◽  
Health Management ◽  
Market Mechanism ◽  
Evaluation Index System ◽  
Management Service ◽  
Analytic Hierarchy ◽  
Service Market ◽  
The Government

ABSTRACT Teenagers are the future of our country, and their physical health has a great impact on the economic and social development of our country. In view of this, this study applied questionnaire survey, analytic hierarchy and situation analysis to construct the evaluation index system and hierarchical structure model of youth physical health promotion path, and used empirical analysis to analyze and deal with the key factors in the index system. The results show that the coordinates are (0.648, 0.648, 0.648, 654) located in the first quadrant, which indicates that the external opportunities and internal advantages have a high degree of matching; the effect of youth physical health management under the government mechanism is poor, but youth physical health management under the market mechanism needs to be established. The internal advantages of youth physical health management are relatively large, and the public management service market has great potential, and the market-oriented health construction. It is hoped that this study can provide certain reference for the improvement of Chinese teenagers' physical health.

scholarly journals Student Physical Health Information Management Model under Big Data Environment

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Hui Wang ◽  
Ning Wang ◽  
MeiJie Li ◽  
Simeng Mi ◽  
YaYa Shi
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Physical Health ◽  
Health Information ◽  
Information Management ◽  
Health Management ◽  
Health Information Management ◽  
Management Model ◽  
Student Health ◽  
Management Service

Health is considered an important foundation for students’ success. However, with the accelerated pace of life, rising pressure from various parties, weak health awareness, lack of exercise time, and other reasons, students’ physical quality is generally declining, the incidence of health diseases is increasing, and the onset age tends to be younger. With the development of the concept of “health first,” health management continues to expand and extend and students’ health management has attracted more attention from many aspects. Due to the late and low starting point of health management research and the lack of professional theoretical support, a complete, mature, and effective health management service system has not been established to deal with the students’ health. In order to make student health management more scientific, normative, and effective, this article has proposed big data technology to build the student health information management model. The first step of the approach is to store and analyze the data of students’ physical health. It is necessary to combine the data collection, supervision, data analysis, and data application of students’ physical health and gradually improve the national monitoring and evaluation system of students’ physical health. Student health check-up management platform is mainly used in realizing the school student information management and student health information relationship between system, science, standardization, and automation, and its main task is to use a computer to perform daily management of all previous medical information of students, such as query, modify, add, delete, and enhance the physical health of students information management ability given the large data analysis of useful information. In addition, we have built a doctor recommendation model based on online questions and answers to give specific health recommendations for students of different physiques.

scholarly journals Design of AI-based gamification platform for effective educational service using child behavior prediction/change

2021 ◽  
Vol 12 (5) ◽  
pp. 286-292
Author(s):  
Hyeon Woo Nam
Keyword(s):  
Artificial Intelligence ◽  
Autonomous Vehicles ◽  
Industrial Revolution ◽  
Teaching Method ◽  
Behavior Prediction ◽  
Interactive Communication ◽  
Service Platform ◽  
Learning Attitudes ◽  
Education Industry ◽  
Artificial Intelligence Technology

Due to the advancement of advanced technologies such as artificial intelligence, robots, autonomous vehicles, healthcare, virtual reality, augmented reality, etc. and the popularization of smartphones, it stimulates customer interest and leads voluntary participation in order to maximize interactive communication in all industries The gamification strategy incorporating games began to emerge. A representative field that generates results by easily introducing such a gamification strategy is the education industry that seeks to improve the educational effect by utilizing the elements of corporate marketing strategies and games such as challenge, competition, achievement, and reward. Recently, gamification research is being conducted to effectively apply AI and big data, the core technologies of the 4th industrial revolution in all industries. Gamification is actively forming markets in Europe and the US, and it can increase customer loyalty and productivity by applying various roles applied to games in other industries as well as serious games. The purpose of this study is to design and implement a gamification service platform based on artificial intelligence technology and operate the implemented system to expand the area where the gamification service applied to the existing marketing and consulting fields can be used. The designed gamification service platform can be applied to education services that increase learning efficiency by analyzing the predicted learning attitudes of trainees, and through successful research cases, it will be able to provide immersion effect to trainees and teaching method research to educators.

Development Status and Countermeasures of Innovation and Entrepreneurship Service Platform in China's Universities

2021 ◽  
Vol 7 (6) ◽  
pp. 6180-6189
Author(s):  
Wang Yong ◽  
Zhang Yaohui
Keyword(s):  
College Students ◽  
Government Policy ◽  
Scientific Research ◽  
Business Environment ◽  
Colleges And Universities ◽  
Service Platform ◽  
Development Status ◽  
Support For Innovation ◽  
The Government ◽  
Innovation And Entrepreneurship

Innovation and entrepreneurship service platforms in colleges and universities bear the dual responsibility of education on and support for innovation and entrepreneurship. However, at present, they are confronted with such problems as insufficient government policy publicity, insignificant transformation effect of scientific research achievements, fragile business environment, and weak financing function. To continue to advance the construction of innovation and entrepreneurship service platform for college students, it is necessary to improve the government environment of those platforms within colleges and universities, build the service platform based on the transformation of teachers’ scientific research achievements, enhance the business environment for college students’ innovation and entrepreneurship, and promote the financing capacity of colleges’ incubators.

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