Open Access

Research on Physical Fitness and Health Improvement Strategies for Youth Basketball Players Based on Big Data Analysis

  
Nov 18, 2024

Cite
Download Cover

Gebel, A., Prieske, O., Behm, D. G., & Granacher, U. (2020). Effects of balance training on physical fitness in youth and young athletes: a narrative review. Strength & Conditioning Journal, 42(6), 35-44. Search in Google Scholar

Albaladejo-Saura, M., Vaquero-Cristóbal, R., González-Gálvez, N., & Esparza-Ros, F. (2021). Relationship between biological maturation, physical fitness, and kinanthropometric variables of young athletes: A systematic review and meta-analysis. International journal of environmental research and public health, 18(1), 328. Search in Google Scholar

Moseid, C. H., Myklebust, G., Slaastuen, M. K., Bar‐Yaacov, J. B., Kristiansen, A. H., Fagerland, M. W., & Bahr, R. (2019). The association between physical fitness level and number and severity of injury and illness in youth elite athletes. Scandinavian journal of medicine & science in sports, 29(11), 1736-1748. Search in Google Scholar

Yin, Z. (2022). Influence of physical training on the physical fitness of young throwing athletes. Revista Brasileira de Medicina do Esporte, 28(6), 730-733. Search in Google Scholar

Mancha-Triguero, D., García-Rubio, J., Calleja-González, J., & Ibáñez, S. J. (2019). Physical fitness in basketball players: A systematic review. J. Sports Med. Phys. Fit, 59(10.23736), S0022-4707. Search in Google Scholar

Nikolic, A. (2018). Plyometric basketball training. Turkish Journal of Kinesiology, 4(4), 101-105. Search in Google Scholar

Aoki, M. S., Ronda, L. T., Marcelino, P. R., Drago, G., Carling, C., Bradley, P. S., & Moreira, A. (2017). Monitoring training loads in professional basketball players engaged in a periodized training program. The Journal of Strength & Conditioning Research, 31(2), 348-358. Search in Google Scholar

Fox, J. L., Scanlan, A. T., & Stanton, R. (2017). A review of player monitoring approaches in basketball: current trends and future directions. The Journal of Strength & Conditioning Research, 31(7), 2021-2029. Search in Google Scholar

Sivarajah, U., Kamal, M. M., Irani, Z., & Weerakkody, V. (2017). Critical analysis of Big Data challenges and analytical methods. Journal of business research, 70, 263-286. Search in Google Scholar

Tonidandel, S., King, E. B., & Cortina, J. M. (2018). Big data methods: Leveraging modern data analytic techniques to build organizational science. Organizational research methods, 21(3), 525-547. Search in Google Scholar

Blazquez, D., & Domenech, J. (2018). Big Data sources and methods for social and economic analyses. Technological Forecasting and Social Change, 130, 99-113. Search in Google Scholar

Mahmud, M. S., Huang, J. Z., Salloum, S., Emara, T. Z., & Sadatdiynov, K. (2020). A survey of data partitioning and sampling methods to support big data analysis. Big Data Mining and Analytics, 3(2), 85-101. Search in Google Scholar

Henriques‐Neto, D., Minderico, C., Peralta, M., Marques, A., & Sardinha, L. B. (2020). Test–retest reliability of physical fitness tests among young athletes: The FITescola® battery. Clinical Physiology and Functional Imaging, 40(3), 173-182. Search in Google Scholar

Henriques-Neto, D., Magalhães, J. P., Hetherington-Rauth, M., Santos, D. A., Baptista, F., & Sardinha, L. B. (2020). Physical fitness and bone health in young athletes and nonathletes. Sports Health, 12(5), 441-448. Search in Google Scholar

Henriques‐Neto, D., Hetherington‐Rauth, M., Magalhaes, J. P., Correia, I., Judice, P. B., & Sardinha, L. B. (2022). Physical fitness tests as an indicator of potential athletes in a large sample of youth. Clinical Physiology and Functional Imaging, 42(2), 88-95. Search in Google Scholar

Zhang, S., Zhang, J., & Zhou, X. (2022). Design and Development of Smart Wearable Products for Basketball Dribble Teaching Training Posture Monitoring. Wireless Communications and Mobile Computing, 2022(1), 2222081. Search in Google Scholar

Russell, J. L., McLean, B. D., Impellizzeri, F. M., Strack, D. S., & Coutts, A. J. (2021). Measuring physical demands in basketball: an explorative systematic review of practices. Sports Medicine, 51, 81-112. Search in Google Scholar

Hu, W. (2023). The Application of Artificial Intelligence and Big Data Technology in Basketball Sports Training. EAI Endorsed Transactions on Scalable Information Systems, 10(4). Search in Google Scholar

He, W. (2021, February). Research on basketball technical training and tactics training of college students based on big data. In Journal of Physics: Conference Series (Vol. 1744, No. 4, p. 042004). IOP Publishing. Search in Google Scholar

Song, B., & Tuo, P. (2022). Monitoring the physical condition of basketball players using IoT and blockchain. Mobile information systems, 2022(1), 7657764. Search in Google Scholar

Yiteng Yuan, Jie Wang, Wei Li, Kaipeng Wang, Hong Rao & Jianfeng Xu. (2024). Fast supervoxel segmentation of connectivity median simulation based on Manhattan distance. International Journal of Applied Earth Observation and Geoinformation104108-104108. Search in Google Scholar

Yu Sun & Shiming Li. (2024). A knee-oriented many-objective differential evolution with bi-strategy and Manhattan distance-domination range. Swarm and Evolutionary Computation101637-101637. Search in Google Scholar

Khongorzul Dashdondov, Suehyun Lee & Munkh Uchral Erdenebat. (2024). Enhancing Diabetes Prediction and Prevention through Mahalanobis Distance and Machine Learning Integration. Applied Sciences(17),7480-7480. Search in Google Scholar

Shao hong Yan, Jia yang Niu, Tai long Chen, Qiu tong Liu, Cen Yang, Jia qing Cheng... & Jie Li. (2022). Location algorithm of transfer stations based on density peak and outlier detection. Applied Intelligence(12), 13520-13532. Search in Google Scholar

Language:
English