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

Emmanuel A. Jammeh; Camille B. Carroll; SW Pearson; Javier Escudero; Athanasios Anastasiou; Peng Zhao; Todd Chenore; John Zajicek; Emmanuel Ifeachor

doi:10.3399/bjgpopen18X101589

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

Emmanuel A. Jammeh^*
, Camille B. Carroll
, SW Pearson
, Javier Escudero
, Athanasios Anastasiou
, Peng Zhao
, Todd Chenore
, John Zajicek
, Emmanuel Ifeachor

^*Corresponding author for this work

Caribbean Research and Management of Biodiversity Foundation
University of Edinburgh
Swansea University
Northern
University of St Andrews

Research output: Contribution to journal › Article › peer-review

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Original language	English
Pages (from-to)	0-0
Number of pages	0
Journal	BJGP Open
Volume	2
Issue number	2
Early online date	13 Jun 2018
DOIs	https://doi.org/10.3399/bjgpopen18X101589
Publication status	Published - Jul 2018

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title = "Machine-learning based identification of undiagnosed dementia in primary care: a feasibility study",

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AU - Jammeh, Emmanuel A.

AU - Carroll, Camille B.

AU - Pearson, SW

AU - Escudero, Javier

AU - Anastasiou, Athanasios

AU - Zhao, Peng

AU - Chenore, Todd

AU - Zajicek, John

AU - Ifeachor, Emmanuel

PY - 2018/7

Y1 - 2018/7

UR - https://pearl.plymouth.ac.uk/pms-research/142/

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DO - 10.3399/bjgpopen18X101589

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VL - 2

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JO - BJGP Open

JF - BJGP Open

IS - 2

ER -

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

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