Dementia prediction in the general population using clinically accessible variables: a proof-of-concept study using machine learning. The AGES-Reykjavik study

被引：0
作者：
Emma L. Twait
Constanza L. Andaur Navarro
Vilmunur Gudnason
Yi-Han Hu
Lenore J. Launer
Mirjam I. Geerlings
机构：
[1] University Medical Center Utrecht and Utrecht University,Department of Epidemiology, Julius Center for Health Sciences and Primary Care
[2] Amsterdam UMC,Department of General Practice
[3] location Vrije Universiteit Amsterdam,Faculty of Medicine
[4] Amsterdam Public Health,Laboratory of Epidemiology and Population Sciences
[5] Aging & Later life and Personalized Medicine,Department of General Practice
[6] Amsterdam Neuroscience,undefined
[7] Neurodegeneration and Mood,undefined
[8] Anxiety,undefined
[9] Psychosis,undefined
[10] Stress,undefined
[11] and Sleep,undefined
[12] University of Iceland,undefined
[13] The Icelandic Heart Association,undefined
[14] National Institute on Aging,undefined
[15] Amsterdam UMC,undefined
[16] location University of Amsterdam,undefined
来源：
BMC Medical Informatics and Decision Making | / 23卷
关键词：
Dementia; Machine learning; Prediction model;
D O I：
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摘要：
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[1]  
Taudorf L(2021)Dementia increases mortality beyond effects of comorbid conditions: a national registry-based cohort study Eur J Neurol 28 2174-84
[2]  
Nørgaard A(2020)Dementia prevention, intervention, and care: 2020 report of the Lancet Commission Lancet 396 413-46
[3]  
Brodaty H(2019)A comprehensive update on treatment of Dementia Semin Neurol 39 167-78
[4]  
Laursen TM(2011)Neuroimaging markers for the prediction and early diagnosis of Alzheimer’s disease dementia Trends Neurosci 34 430-42
[5]  
Waldemar G(2014)Development and validation of a brief dementia screening indicator for primary care Alzheimers Dement 10 656-65e1
[6]  
Livingston G(2006)Risk score for the prediction of dementia risk in 20 years among middle aged people: a longitudinal, population-based study Lancet Neurol 5 735-41
[7]  
Huntley J(2015)Current developments in Dementia Risk Prediction Modelling: an updated systematic review PLoS ONE 10 e0136181-41
[8]  
Sommerlad A(2021)Dementia risk in the general population: large-scale external validation of prediction models in the AGES-Reykjavik study Eur J Epidemiol 36 1025-55
[9]  
Ames D(2018)External validation of four dementia prediction models for use in the general community-dwelling population: a comparative analysis from the Rotterdam Study Eur J Epidemiol 33 645-45
[10]  
Ballard C(2022)Examining the utility of nonlinear machine learning approaches versus linear regression for predicting body image outcomes: the U.S. Body Project I Body Image 41 32-40
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