Yu Tenghao and  Li Wanjing. Analysis of Athlete’s Physical Health Indexes Based on Bayesian Network Model. Dynamic Systems and Applications 29 (2020) No. 5, 2079 – 2089

https://doi.org/10.46719/dsa202029542

ABSTRACT.
Social of people around the world, due to the significant improvement of economic living standards, obesity of Players cannot be ignored has become an increasingly important health problem. Therefore, we will try to explore the use of data mining techniques and feasibility using a scenario-based simulation. While it is looking for ways that can be used in other areas of the health of the players, in this process, we hope to explore the what-if analysis of the use of the Bayesian network in general (GBN). We have to analyze the data from the attributes and the player’s health behavior. In our simulation, it is compared to the operation-oriented; to increase the obesity compared to the simulation of other factors, we found that it holds the promise of higher potential. We are also working with the rise of the performance level and the pressure that increases potential players to obesity, to find you that to then multiply the weight to the lead. Through the virtual analysis and GBN, it is more proof of concept to analyze the player’s health status. Therefore, its purpose is to guide the medical staff to expand the possibility to simulate a particular result of certain factors of the future of the athlete of health problems based on the prediction.

Keywords: BNM, Analysis, Preprocessing, GBN, Planning, Realization, Evaluation, Control.