Knowledge discovery strategy over patient performance data towards the extraction of hemiparesis-inherent features: a case study (2016)
- Authors:
- USP affiliated authors: BATTISTELLA, LINAMARA RIZZO - FM ; CAURIN, GLAUCO AUGUSTO DE PAULA - EESC
- Unidades: FM; EESC
- DOI: 10.1109/BIOROB.2016.7523711
- Subjects: MINERAÇÃO DE DADOS; TECNOLOGIAS DA SAÚDE; ROBÓTICA
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway, NJ
- Date published: 2016
- Source:
- Título do periódico: Proceedings
- Conference titles: IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics - BioRob
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
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: 19 abr. 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.2016.7523711 -
NLM
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 abr. 19 ] Available from: https://doi.org/10.1109/BIOROB.2016.7523711 -
Vancouver
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 abr. 19 ] Available from: https://doi.org/10.1109/BIOROB.2016.7523711 - A telerreabilitação em tempos de covid-19
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Informações sobre o DOI: 10.1109/BIOROB.2016.7523711 (Fonte: oaDOI API)
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