TY  - GEN
AU  - Apóstolo, J
AU  - Bobrowicz-Campos, E
AU  - Moreno-Casbas, Teresa
AU  - Teixeira-Santos, L
AU  - Sánchez-de-Madariaga, Ricardo
AU  - Casado-Ramirez, Elvira
AU  - Couto, F
AU  - Coelho, A
AU  - Parola, V
AU  - Gil, I
AU  - Pascual-Carrasco, Mario
AU  - Almeida, M de L
AU  - ModulEn Consortium
PY  - 2019
SN  - 2239-9747
UR  - http://hdl.handle.net/20.500.12105/8885
AB  - There is a growing need to implement and evaluate the technological solutions that allow the early detection of age-related frailty and enable assessment of the predictive values of frailty components. The broad use of these solutions may ensure an...
LA  - eng
PB  - Università degli Studi di Salerno (Italia)
KW  - Circadian health
KW  - Citizen engagement
KW  - Digital solutions
KW  - Frailty
KW  - Older adults
KW  - Predictive model
TI  - A Study Protocol for Development and Validation of a Clinical Prediction Model for Frailty (ModulEn): a new European Commitment to Tackling Frailty
TY  - research article
ER  -