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Rapid Geriatric Assessment Using Mobile App in Primary Care: Prevalence of Geriatric Syndromes and Review of Its Feasibility.
Merchant, Reshma Aziz; Hui, Richard Jor Yeong; Kwek, Sing Cheer; Sundram, Meena; Tay, Arthur; Jayasundram, Jerome; Chen, Matthew Zhixuan; Ng, Shu Ee; Tan, Li Feng; Morley, John E.
Afiliación
  • Merchant RA; Division of Geriatric Medicine, Department of Medicine, National University Hospital, National University Health System, Singapore, Singapore.
  • Hui RJY; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
  • Kwek SC; National University Polyclinics, National University Hospital System, Singapore, Singapore.
  • Sundram M; National University Polyclinics, National University Hospital System, Singapore, Singapore.
  • Tay A; National University Polyclinics, National University Hospital System, Singapore, Singapore.
  • Jayasundram J; Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore.
  • Chen MZ; Division of Geriatric Medicine, Department of Medicine, National University Hospital, National University Health System, Singapore, Singapore.
  • Ng SE; Division of Geriatric Medicine, Department of Medicine, National University Hospital, National University Health System, Singapore, Singapore.
  • Tan LF; Division of Geriatric Medicine, Department of Medicine, National University Hospital, National University Health System, Singapore, Singapore.
  • Morley JE; Healthy Ageing Program, Alexandra Hospital, National University Health System, Singapore, Singapore.
Front Med (Lausanne) ; 7: 261, 2020.
Article en En | MEDLINE | ID: mdl-32733901
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prevalence_studies / Risk_factors_studies Idioma: En Revista: Front Med (Lausanne) Año: 2020 Tipo del documento: Article País de afiliación: Singapur
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prevalence_studies / Risk_factors_studies Idioma: En Revista: Front Med (Lausanne) Año: 2020 Tipo del documento: Article País de afiliación: Singapur