Learning features on acceleration data for fall risk computer-aided diagnosis (2015)
- Authors:
- Autor USP: PONTI, MOACIR ANTONELLI - ICMC
- Unidade: ICMC
- DOI: 10.1093/geront/gnv349.13
- Subjects: INTELIGÊNCIA ARTIFICIAL; COMPUTAÇÃO GRÁFICA; PROCESSAMENTO DE IMAGENS; DIAGNÓSTICO POR COMPUTADOR
- Language: Inglês
- Imprenta:
- Publisher: Oxford University Press
- Publisher place: Cary
- Date published: 2015
- Source:
- Título: The Gerontologist
- ISSN: 0016-9013
- Volume/Número/Paginação/Ano: v. 55, supl. S2, p. 45, 2015
- Conference titles: Annual Scientific Meeting of the Gerontological Society of America - GSA
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
PONTI, Moacir Antonelli et al. Learning features on acceleration data for fall risk computer-aided diagnosis. The Gerontologist. Cary: Oxford University Press. Disponível em: https://doi.org/10.1093/geront/gnv349.13. Acesso em: 04 mar. 2026. , 2015 -
APA
Ponti, M. A., Oliveira, C. L., Bet, P., & Castro, P. C. (2015). Learning features on acceleration data for fall risk computer-aided diagnosis. The Gerontologist. Cary: Oxford University Press. doi:10.1093/geront/gnv349.13 -
NLM
Ponti MA, Oliveira CL, Bet P, Castro PC. Learning features on acceleration data for fall risk computer-aided diagnosis [Internet]. The Gerontologist. 2015 ; 55 45.[citado 2026 mar. 04 ] Available from: https://doi.org/10.1093/geront/gnv349.13 -
Vancouver
Ponti MA, Oliveira CL, Bet P, Castro PC. Learning features on acceleration data for fall risk computer-aided diagnosis [Internet]. The Gerontologist. 2015 ; 55 45.[citado 2026 mar. 04 ] Available from: https://doi.org/10.1093/geront/gnv349.13 - Mobile inertial sensors for fall risk screening and prediction
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Informações sobre o DOI: 10.1093/geront/gnv349.13 (Fonte: oaDOI API)
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