Decoding diagnosis and lifetime consumption in alcohol dependence from grey-matter pattern information.
Journal:
Acta psychiatrica Scandinavica
Published Date:
Mar 1, 2018
Abstract
OBJECTIVE: We investigated the potential of computer-based models to decode diagnosis and lifetime consumption in alcohol dependence (AD) from grey-matter pattern information. As machine-learning approaches to psychiatric neuroimaging have recently come under scrutiny due to unclear generalization and the opacity of algorithms, our investigation aimed to address a number of methodological criticisms.