High-Accuracy Detection of Early Parkinson's Disease through Multimodal Features and Machine Learning

Title
High-Accuracy Detection of Early Parkinson's Disease through Multimodal Features and Machine Learning
Authors
Keywords
Parkinson’s disease, non-motor features, cerebrospinal fluid markers, dopaminergic imaging, Computer-aided diagnosis, pattern classification
Journal
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
Volume 90, Issue -, Pages 13-21
Publisher
Elsevier BV
Online
2016-03-06
DOI
10.1016/j.ijmedinf.2016.03.001

Ask authors/readers for more resources

Reprint

Contact the author

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started