A data-driven approach to complement the A/T/(N) classification system using CSF biomarkers.

Laura Hernández-LorenzoMaria José Gil-MorenoIsabel Ortega-MadueñoMaria Cruz CárdenasMaria Diez-CirardaAlfonso Delgado-ÁlvarezMarta Palacios-SarmientoJorge Matias-GuiuSilvia CorrochanoJosé L AyalaJordi A Matias-Guiunull null

Published in: CNS neuroscience & therapeutics (2023)

We propose this data-driven three-group classification as a meaningful and straightforward approach to evaluating the risk of conversion to dementia, complementary to the AT(N) system classification.

Keyphrases

deep learning
machine learning
mild cognitive impairment
cognitive impairment
cerebrospinal fluid