Cargando…
Machine-learning based identification of undiagnosed dementia in primary care: a feasibility study
BACKGROUND: Up to half of patients with dementia may not receive a formal diagnosis, limiting access to appropriate services. It is hypothesised that it may be possible to identify undiagnosed dementia from a profile of symptoms recorded in routine clinical practice. AIM: The aim of this study is to...
Autores principales: | Jammeh, Emmanuel A, Carroll, Camille, B, Pearson, Stephen, W, Escudero, Javier, Anastasiou, Athanasios, Zhao, Peng, Chenore, Todd, Zajicek, John, Ifeachor, Emmanuel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Royal College of General Practitioners
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6184101/ https://www.ncbi.nlm.nih.gov/pubmed/30564722 http://dx.doi.org/10.3399/bjgpopen18X101589 |
Ejemplares similares
-
Data modeling methods in clinical trials: experiences from the clinical trial methods in neurodegenerative diseases project
por: Anastasiou, Athanasios, et al.
Publicado: (2011) -
Selection of subjects for clinical trials in Alzheimer’s disease and mild cognitive impairment with machine learning analysis of MRI and CSF biomarkers
por: Escudero, Javier, et al.
Publicado: (2011) -
Robust EEG Based Biomarkers to Detect Alzheimer’s Disease
por: Al-Nuaimi, Ali H., et al.
Publicado: (2021) -
Assessment of Alzheimer-related pathologies of dementia using machine learning feature selection
por: Rajab, Mohammed D., et al.
Publicado: (2023) -
THE RELATIONSHIP BETWEEN IMMIGRANT STATUS AND UNDIAGNOSED DEMENTIA
por: Franco, Yujin, et al.
Publicado: (2019)