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 Kolisek

Description

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

Licence