Early diagnosis of Alzheimer's disease using machine learning: a multi-diagnostic, generalizable approach.

ABSTRACT:

Background

Early and accurate diagnosis of Alzheimer's disease (AD) is essential for disease management and therapeutic choices that can delay disease progression. Machine learning (ML) approaches have been extensively used in attempts to develop algorithms for reliable early diagnosis of AD, although clinical usefulness, interpretability, and generalizability of the classifiers across datasets and MRI protocols remain limited.

Methods

We report a multi-diagnostic and generalizable approach for mild cognitive impairment (MCI) and AD diagnosis using structural MRI and ML. Classifiers were trained and tested using subjects from the AD Neuroimaging Initiative (ADNI) database (n = 570) and the Open Access Series of Imaging Studies (OASIS) project database (n = 531). Several clas

SUBMITTER: Diogo VS 

PROVIDER: S-EPMC9347083 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature