Machine learning, image processing (psychiatric neuroimaging), data analysis & modeling
Completed Projects
Project
ePODIUM: early Prediction Of Dyslexia in Infants Using Machine Learning
01.05.2019
to 31.12.2022
General project description
This project's aim is to predict (family risk of) dyslexia based on EEG (ERP) measurements in infants. State-of-the-art machine learning (deep learning) techniques will be employed to find early patterns in ERP data that are characteristic of (risk of) developmental dyslexia. See https://www.esciencecenter.nl/project/epodium
Role
Project Leader
Funding
NWO grant an eScience Center / ASDI project
Project members UU