Improving the Estimation of Age at Onset for Huntington’s Disease Through the Use of Machine Learning Models with the Enroll-HD Data

Marchiori Dias, J.C. (Julio Cesar)

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 ICT in Business and the Public Sector

The following thesis was written by a student in the 2023-2024 class of the Master ICT in Business and the Public Sector 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	Marchiori Dias, J.C. (Julio Cesar)
Programme	Master ICT in Business and the Public Sector
Year	2023-2024
Supervisors	Dr. E. Mina (first supervisor) Wolstencroft, dr. K.J. (Katy)
Thesis	Open Thesis PDF

Citation details

Marchiori Dias, J.C. (Julio Cesar), 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 ICT in Business and the Public Sector, LIACS, Leiden University, 2024.