Brain Age Prediction using Machine learning Techniques applied to Resting State EEG data, with Clinical Validation Results - CONFIDENTIAL

Gunn, J.

LIACS Thesis Repository

These webpages contain theses and reports by students affiliated with the various bachelor and master programmes offered at the Leiden Institute of Advanced Computer Science (LIACS), the computer science and artificial intelligence department of Leiden University.
Note: this thesis repository might be incomplete for certain programmes.

Master Computer Science

The following thesis was written by a student in the 2021-2022 class of the Master Computer Science programme at Leiden University.

Thesis details

Title	Brain Age Prediction using Machine learning Techniques applied to Resting State EEG data, with Clinical Validation Results - CONFIDENTIAL
Student	Gunn, J.
Programme	Master Computer Science
Year	2021-2022
Supervisors	Wang, dr. H. (Hao) Dr. Robert-Jan Doll (second supervisor)

Citation details

Gunn, J., Brain Age Prediction using Machine learning Techniques applied to Resting State EEG data, with Clinical Validation Results - CONFIDENTIAL, Thesis Master Computer Science, LIACS, Leiden University, 2022.