Machine learning in Huntington's disease: exploring the Enroll-HD dataset for prognosis and driving capability prediction.

Jasper Ouwerkerk Stephanie Feleus Kasper F van der Zwaan Yunlei Li Marco Roos Willeke M C van Roon-Mom Susanne T de Bot Katherine J Wolstencroft Eleni Mina

Published in: Orphanet journal of rare diseases (2023)

Our pre-processing workflow made it possible to resolve the missing values and include most participants and variables in Enroll-HD. We show the added value of a ML approach, which improved AAO predictions and allowed for the development of an advisory model that can assist clinicians and participants in estimating future driving capability.

Keyphrases

machine learning
current status
palliative care
artificial intelligence
big data