Autor(es): Vera Elizabeth Closs ; Patricia Klarmann Ziegelmann ; João Henrique Ferreira Flores ; Irenio Gomes ; Carla Helena Augustin Schwanke
Data: 2022
Identificador Persistente: https://hdl.handle.net/10923/22656
Origem: Oasisbr
Assunto(s): elderly; frailty; anthropometric measures; neural network models; elderly; elderly; frailty; frailty; anthropometric measures; anthropometric measures; neural network models; neural network models
Submitted by Biblioteca Suporte PUCRS (biblioteca.suporte@pucrs.br) on 2022-08-16T21:14:06Z No. of bitstreams: 2 Anthropometric_Measures_and_Frailty_Prediction_in_the_Elderly_An_EasytoUse_Tool.pdf: 1484767 bytes, checksum: 4f6af1f2e0a0097afa0f3b3b7c09e376 (MD5) Anthropometric_Measures_and_Frailty_Prediction_in_the_Elderly_An_EasytoUse_Tool.pdf: 1484767 bytes, checksum: 4f6af1f2e0a0097afa0f3b3b7c09e376 (MD5)
Made available in DSpace on 2022-08-16T21:14:06Z (GMT). No. of bitstreams: 2 Anthropometric_Measures_and_Frailty_Prediction_in_the_Elderly_An_EasytoUse_Tool.pdf: 1484767 bytes, checksum: 4f6af1f2e0a0097afa0f3b3b7c09e376 (MD5) Anthropometric_Measures_and_Frailty_Prediction_in_the_Elderly_An_EasytoUse_Tool.pdf: 1484767 bytes, checksum: 4f6af1f2e0a0097afa0f3b3b7c09e376 (MD5) Previous issue date: 2017
