Improving the estimation of age at onset for Huntington’s Disease through the use of Machine Learning models with the Enroll-HD data.

Julio Cesar, Marchiori Dias

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 2023-2024 class of the Master Computer Science programme at Leiden University.

Thesis details

Title	Improving the estimation of age at onset for Huntington’s Disease through the use of Machine Learning models with the Enroll-HD data.
Student	Julio Cesar, Marchiori Dias
Programme	Master Computer Science
Year	2023-2024
Supervisors	Wolstencroft, dr. K.J. (Katy) Eleni Mina (second supervisor)
Thesis	Open Thesis PDF

Citation details

Julio Cesar, Marchiori Dias, Improving the estimation of age at onset for Huntington’s Disease through the use of Machine Learning models with the Enroll-HD data., Thesis Master Computer Science, LIACS, Leiden University, 2024.