Forecasting the progression of Alzheimer's disease using neural networks and a novel preprocessing algorithm

Abstract Introduction There is a 99.6% failure rate of clinical trials for drugs to treat Alzheimer's disease, likely because Alzheimer's disease (AD) patients cannot be easily identified at early stages. This study investigated machine learning approaches to use clinical data to predict the progres...

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Bibliografske podrobnosti

Principais autores:	Jack Albright, Alzheimer's Disease Neuroimaging Initiative
Format:	Artigo
Jezik:	Inglês
Izdano:	Wiley 2019-01-01
Serija:	Alzheimer’s & Dementia: Translational Research & Clinical Interventions
Teme:	Machine learning Neural networks Disease progression Alzheimer's disease Mild cognitive impairment Dementia
Online dostop:	https://doi.org/10.1016/j.trci.2019.07.001
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