Source: Proceedings. Conference titles: IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics - BioRob. Unidades: FM, EESC
Subjects: MINERAÇÃO DE DADOS, TECNOLOGIAS DA SAÚDE, ROBÓTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MORETTI, Caio Benatti et al. Knowledge discovery strategy over patient performance data towards the extraction of hemiparesis-inherent features: a case study. 2016, Anais.. Piscataway, NJ: IEEE, 2016. Disponível em: https://doi.org/10.1109/BIOROB.2016.7523711. Acesso em: 17 out. 2024.APA
Moretti, C. B., Joaquim, R. C., Terranova, T. T., Battistella, L. R., Mazzoleni, S., & Caurin, G. A. de P. (2016). Knowledge discovery strategy over patient performance data towards the extraction of hemiparesis-inherent features: a case study. In Proceedings. Piscataway, NJ: IEEE. doi:10.1109/BIOROB.2016.7523711NLM
Moretti CB, Joaquim RC, Terranova TT, Battistella LR, Mazzoleni S, Caurin GA de P. Knowledge discovery strategy over patient performance data towards the extraction of hemiparesis-inherent features: a case study [Internet]. Proceedings. 2016 ;[citado 2024 out. 17 ] Available from: https://doi.org/10.1109/BIOROB.2016.7523711Vancouver
Moretti CB, Joaquim RC, Terranova TT, Battistella LR, Mazzoleni S, Caurin GA de P. Knowledge discovery strategy over patient performance data towards the extraction of hemiparesis-inherent features: a case study [Internet]. Proceedings. 2016 ;[citado 2024 out. 17 ] Available from: https://doi.org/10.1109/BIOROB.2016.7523711