Fonte: Sports Medicine. Unidade: EEFE
Assuntos: REDES NEURAIS, TECNOLOGIA, APRENDIZADO COMPUTACIONAL, BASQUETEBOL, HANDEBOL, INOVAÇÃO, FUTEBOL, VOLEIBOL, LESÕES NO ESPORTE, DESEMPENHO ESPORTIVO
ABNT
CLAUDINO, João Gustavo et al. Current approaches to the use of artificial intelligence for injury risk assessment and performance prediction in team sports: a systematic review. Sports Medicine, v. 5, n. 28, p. 12 , 2019Tradução . . Disponível em: https://doi.org/10.1186/s40798-019-0202-3. Acesso em: 06 set. 2024.APA
Claudino, J. G., Capanema, D. de O., Souza, T. V. de, Serrão, J. C., Pereira, A. C. M., & Nassis, G. P. (2019). Current approaches to the use of artificial intelligence for injury risk assessment and performance prediction in team sports: a systematic review. Sports Medicine, 5( 28), 12 . doi:10.1186/s40798-019-0202-3NLM
Claudino JG, Capanema D de O, Souza TV de, Serrão JC, Pereira ACM, Nassis GP. Current approaches to the use of artificial intelligence for injury risk assessment and performance prediction in team sports: a systematic review [Internet]. Sports Medicine. 2019 ; 5( 28): 12 .[citado 2024 set. 06 ] Available from: https://doi.org/10.1186/s40798-019-0202-3Vancouver
Claudino JG, Capanema D de O, Souza TV de, Serrão JC, Pereira ACM, Nassis GP. Current approaches to the use of artificial intelligence for injury risk assessment and performance prediction in team sports: a systematic review [Internet]. Sports Medicine. 2019 ; 5( 28): 12 .[citado 2024 set. 06 ] Available from: https://doi.org/10.1186/s40798-019-0202-3