A Comprehensive Machine Learning Framework for the Exact Prediction of the Age of Onset in Familial and Sporadic Alzheimer’s Disease

Machine learning (ML) algorithms are widely used to develop predictive frameworks. Accurate prediction of Alzheimer’s disease (AD) age of onset (ADAOO) is crucial to investigate potential treatments, follow-up, and therapeutic interventions. Although genetic and non-genetic factors affecting ADAOO w...

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Главные авторы:	Jorge I. Vélez, Luiggi A. Samper, Mauricio Arcos-Holzinger, Lady G. Espinosa, Mario A. Isaza-Ruget, Francisco Lopera, Mauricio Arcos-Burgos
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2021-05-01
Серии:	Diagnostics
Предметы:	age of onset machine learning Alzheimer’s disease genetic isolates <i>PSEN1</i> predictive genomics
Online-ссылка:	https://www.mdpi.com/2075-4418/11/5/887
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