Identification of a Multivariate Mitochondrial Fitness Algorithm for Diagnosing Parkinson's Disease: Machine Learning Analysis of Phase I Data from the MITOPAT Study
Published: 5 April 2024| Version 1 | DOI: 10.17632/p4dwrbbv3r.1
Contributors:
Marian Grendar, Martin KolisekDescription
Comprehensive reports, generated using R Notebooks, outlining detailed data analyses from the Phase I MITOPAT study.
Files
Institutions
Univerzita Komenskeho v Bratislave
Categories
Machine Learning, Parkinson's Disease, Mitochondrial Disorder, Multivariate Regression, Diagnosis of Parkinson's Disease
Funding
Agentúra na Podporu Výskumu a Vývoja
APVV-19-0222