Machine-learning based identification of undiagnosed dementia in primary care: a feasibility study (Q64119563)

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15 April 2020

title

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

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15 April 2020

0 references

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1

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15 April 2020

Javier Escudero

4

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15 April 2020

author name string

Camille B Carroll

2

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15 April 2020

Stephen W Pearson

3

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15 April 2020

Athanasios Anastasiou

5

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15 April 2020

Peng Zhao

6

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15 April 2020

Todd Chenore

7

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15 April 2020

John Zajicek

8

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15 April 2020

Emmanuel Ifeachor

9

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language of work or name

English

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publication date

13 June 2018

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15 April 2020

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15 April 2020

volume

2

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15 April 2020

issue

2

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15 April 2020

page(s)

bjgpopen18X101589

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describes a project that uses

15 April 2020

Bayes' theorem

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18 June 2022

https://europepmc.org/article/PMC/6184101

inferred from PubMed Central ID database lookup

cites work

Lot quality assurance sampling techniques in health surveys in developing countries: advantages and current constraints

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12 December 2020

What are the Read Codes?

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Reliable diagnoses of dementia by the naive credal classifier inferred from incomplete cognitive data.

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Risk score for the prediction of dementia risk in 20 years among middle aged people: a longitudinal, population-based study

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Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging

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Implementing routine cognitive screening of older adults in primary care: process and impact on physician behavior

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A review of feature selection techniques in bioinformatics

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Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2.

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Support vector machine-based classification of Alzheimer's disease from whole-brain anatomical MRI.

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Preventing dementia: role of vascular risk factors and cerebral emboli

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Missed and delayed diagnosis of dementia in primary care: prevalence and contributing factors.

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Machine-learning techniques for building a diagnostic model for very mild dementia

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12 December 2020

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Underdiagnosis of dementia in primary care: variations in the observed prevalence and comparisons to the expected prevalence.

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Data mining methods in the prediction of Dementia: A real-data comparison of the accuracy, sensitivity and specificity of linear discriminant analysis, logistic regression, neural networks, support vector machines, classification trees and random fo

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Predicting Alzheimer's risk: why and how?

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Development of a new method for assessing global risk of Alzheimer's disease for use in population health approaches to prevention.

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Development and validation of a brief dementia screening indicator for primary care

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'Timely' diagnosis of dementia: what does it mean? A narrative analysis of GPs' accounts

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Rates of formal diagnosis in people screened positive for dementia in primary care: results of the DelpHi-Trial

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Innovative diagnostic tools for early detection of Alzheimer's disease.

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Data Resource Profile: Clinical Practice Research Datalink (CPRD)

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Neuropsychological test selection for cognitive impairment classification: A machine learning approach

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12 December 2020

Predicting dementia risk in primary care: development and validation of the Dementia Risk Score using routinely collected data

1 reference

12 December 2020

Random forest to differentiate dementia with Lewy bodies from Alzheimer's disease

1 reference

12 December 2020

10.3399/BJGPOPEN18X101589

Identifiers

DOI

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:30564722%20AND%20SRC:MED&resulttype=core&format=json

15 April 2020

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15 April 2020

PubMed publication ID

30564722

1 reference