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

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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Bibliographic Details
Main Authors: Jorge I. Vélez, Luiggi A. Samper, Mauricio Arcos-Holzinger, Lady G. Espinosa, Mario A. Isaza-Ruget, Francisco Lopera, Mauricio Arcos-Burgos
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Diagnostics
Subjects:
age of onset
machine learning
Alzheimer’s disease
genetic isolates
<i>PSEN1</i>
predictive genomics
Online Access:https://www.mdpi.com/2075-4418/11/5/887

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https://www.mdpi.com/2075-4418/11/5/887

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