Source: Sports Medicine. Unidade: EEFE
Subjects: REDES NEURAIS, TECNOLOGIA, APRENDIZADO COMPUTACIONAL, BASQUETEBOL, HANDEBOL, INOVAÇÃO, FUTEBOL, VOLEIBOL, LESÕES NO ESPORTE, DESEMPENHO ESPORTIVO
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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: 01 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. 01 ] 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. 01 ] Available from: https://doi.org/10.1186/s40798-019-0202-3
