This study aims to develop an explainable Machine Learning (ML) predictive model capable of estimating the time to conversion from Mild Cognitive Impairment (MCI) to Alzheimer’s Disease (AD), distinguishing whether the conversion will occur within 19 months or later, using neuropsuchological data from a single visit. Moreover, this study aims to develop even a graphical user interface (GUI) to provide this model to clinicians as an aid in clinical practice.
Explainable machine learning to predict and differentiate Alzheimer's progression
Caligiore DanieleSecondo
;D'Amore Fabio Massimo;Giocondo Flora;
2025
Abstract
This study aims to develop an explainable Machine Learning (ML) predictive model capable of estimating the time to conversion from Mild Cognitive Impairment (MCI) to Alzheimer’s Disease (AD), distinguishing whether the conversion will occur within 19 months or later, using neuropsuchological data from a single visit. Moreover, this study aims to develop even a graphical user interface (GUI) to provide this model to clinicians as an aid in clinical practice.File in questo prodotto:
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