Identifying frailty levels and associated factors in a population living in the context of poverty and social vulnerability (2017)
- Authors:
- Autor USP: PONTI, MOACIR ANTONELLI - ICMC
- Unidade: ICMC
- DOI: 10.14283/jfa.2016.116
- Subjects: INTELIGÊNCIA ARTIFICIAL; IDOSOS; VULNERABILIDADE; POBREZA; SÃO CARLOS (SP)
- Keywords: Aging; elderly; cognition; frailty; social vulnerability
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Journal of Frailty & Aging
- ISSN: 2273-4309
- Volume/Número/Paginação/Ano: v. 6, n. 1, p. 29-32, 2017
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
ZAZZETTA, M. S et al. Identifying frailty levels and associated factors in a population living in the context of poverty and social vulnerability. Journal of Frailty & Aging, v. 6, n. 1, p. 29-32, 2017Tradução . . Disponível em: https://doi.org/10.14283/jfa.2016.116. Acesso em: 25 abr. 2024. -
APA
Zazzetta, M. S., Gomes, G. A. O., Orlandi, F. S., Gratão, A. C. M., Vasilceac, F. A., Gramani-Say, K., et al. (2017). Identifying frailty levels and associated factors in a population living in the context of poverty and social vulnerability. Journal of Frailty & Aging, 6( 1), 29-32. doi:10.14283/jfa.2016.116 -
NLM
Zazzetta MS, Gomes GAO, Orlandi FS, Gratão ACM, Vasilceac FA, Gramani-Say K, Ponti MA, Castro PC, Pavarini SCI, Menezes ALC, Nascimento CMC, Cominetti MR. Identifying frailty levels and associated factors in a population living in the context of poverty and social vulnerability [Internet]. Journal of Frailty & Aging. 2017 ; 6( 1): 29-32.[citado 2024 abr. 25 ] Available from: https://doi.org/10.14283/jfa.2016.116 -
Vancouver
Zazzetta MS, Gomes GAO, Orlandi FS, Gratão ACM, Vasilceac FA, Gramani-Say K, Ponti MA, Castro PC, Pavarini SCI, Menezes ALC, Nascimento CMC, Cominetti MR. Identifying frailty levels and associated factors in a population living in the context of poverty and social vulnerability [Internet]. Journal of Frailty & Aging. 2017 ; 6( 1): 29-32.[citado 2024 abr. 25 ] Available from: https://doi.org/10.14283/jfa.2016.116 - Does background intensity estimation influence the iterative restoration of microscope images?
- Combining classifiers: from the creation of ensembles to the decision fusion
- Three-dimensional noisy image restoration using filtered extrapolation and deconvolution
- Partially supervised anomaly detection using convex hulls on a 2D parameter space
- One-class to multi-class model update using the class-incremental optimum-path forest classifier
- Extração de atributos visuais compactos para reconhecimento de padrões visuais em dispositivos móveis
- Deep convolutional neural networks and noisy images
- Robust feature spaces from pre-trained deep network layers for skin lesion classification
- Supervised and unsupervised relevance sampling in handcrafted and deep learning features obtained from image collections
- Fall detection and fall risk assessment in older person using wearable sensors: a systematic review
Informações sobre o DOI: 10.14283/jfa.2016.116 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
