An extensive investigation of machine learning techniques for sleep apnea screening (2020)
Rodrigues Junior, José Fernando 
; Pepin, Jean-Louis ; Goeuriot, Lorraine ; Amer-Yahia, Sihem
Source: Proceedings. Conference titles: ACM International Conference on Information & Knowledge Management - CIKM. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, TECNOLOGIAS DA SAÚDE, APNEIA DO SONO TIPO OBSTRUTIVA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RODRIGUES JUNIOR, José Fernando et al. An extensive investigation of machine learning techniques for sleep apnea screening. 2020, Anais.. New York: ACM, 2020. Disponível em: https://doi.org/10.1145/3340531.3412686. Acesso em: 09 nov. 2024.APA
Rodrigues Junior, J. F., Pepin, J. -L., Goeuriot, L., & Amer-Yahia, S. (2020). An extensive investigation of machine learning techniques for sleep apnea screening. In Proceedings. New York: ACM. doi:10.1145/3340531.3412686NLM
Rodrigues Junior JF, Pepin J-L, Goeuriot L, Amer-Yahia S. An extensive investigation of machine learning techniques for sleep apnea screening [Internet]. Proceedings. 2020 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.1145/3340531.3412686Vancouver
Rodrigues Junior JF, Pepin J-L, Goeuriot L, Amer-Yahia S. An extensive investigation of machine learning techniques for sleep apnea screening [Internet]. Proceedings. 2020 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.1145/3340531.3412686
