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Zhang, H. J., Li, Y. L., & Zhang, H. L. (2019) Risk Early Warning Safety Model for Sports Events Based on Back Propagation Neural Network Machine Learning. Safety Science, 118, 332-336.
https://doi.org/10.1016/j.ssci.2019.05.011

has been cited by the following article:

• TITLE: A Study on the Early Warning of Athletes’ Safety in Sport Events Based on the “Fusion of Data and Intelligence”

  AUTHORS: Chen Sun, Jian Li, Qiaochu Gao

  KEYWORDS: Sport Events, Early Warning Monitoring, Big Data, Artificial Intelligence, Data Analysis

  JOURNAL NAME: Open Journal of Social Sciences, Vol.9 No.8, August 13, 2021

  ABSTRACT: As there are many safety factors involved in sports events, the uncertainty and complexity of event risks have led to the frequent occurrence of sudden death and injury accidents among athletes. Starting from the analysis of the data in the 522 Gansu Baiyin Cross Country Race accident report, this paper discusses the feasibility and effectiveness of applying big data and intelligent techniques to guarantee the safety of the athletes in sport events, by all-round monitoring the relevant elements during the whole event’s process. Real-time warning is accomplished on the basis of intelligent analysis of the monitoring data.