[HTML][HTML] Machine-learning based identification of undiagnosed dementia in primary care: a feasibility study

EA Jammeh, BC Camille, WP Stephen, J Escudero… - BJGP open, 2018 - bjgpopen.org
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 …

Machine-learning based identification of undiagnosed dementia in primary care: a feasibility study

EA Jammeh, CB Carroll, SW Pearson… - BJGP …, 2018 - research-repository.st-andrews.ac …
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 …

Machine-learning based identification of undiagnosed dementia in primary care: a feasibility study

EA Jammeh, BC Camille, WP Stephen, J Escudero… - BJGP Open, 2018 - bjgpopen.org
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 …

Machine-learning based identification of undiagnosed dementia in primary care: a feasibility study.

EA Jammeh, CB Carroll, SW Pearson, J Escudero… - BJGP Open, 2018 - europepmc.org
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 …

Machine-learning based identification of undiagnosed dementia in primary care: a feasibility study

E Jammeh, C Carroll, S Pearson… - British Journal of …, 2018 - research.ed.ac.uk
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 …

Machine-learning based identification of undiagnosed dementia in primary care: a feasibility study

E Jammeh, C Carroll, SW Pearson, J Escudero… - 2018 - pearl.plymouth.ac.uk
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 …

Machine-learning based identification of undiagnosed dementia in primary care: a feasibility study

EA Jammeh, CB Carroll, SW Pearson… - BJGP …, 2018 - research-portal.st-andrews.ac.uk
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 …

[PDF][PDF] Machine-learning based identification of undiagnosed dementia in primary care: a feasibility study

EA Jammeh, BC Camille, WP Stephen - 2018 - pdfs.semanticscholar.org
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 …

[PDF][PDF] Machine-learning based identification of undiagnosed dementia in primary care: a feasibility study

EA Jammeh, BC Camille, WP Stephen - 2018 - core.ac.uk
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 …

[HTML][HTML] Machine-learning based identification of undiagnosed dementia in primary care: a feasibility study

EA Jammeh, BC Camille, WP Stephen, J Escudero… - BJGP Open, 2018 - ncbi.nlm.nih.gov
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 …