A Comparative Study of Machine Learning Models for Tabular Data Through Challenge of Monitoring Parkinson's Disease Progression Using Voice Recordings

no code implementations • 27 May 2020 • Mohammadreza Iman, Amy Giuntini, Hamid Reza Arabnia, Khaled Rasheed

Using a dataset of voice recordings of 42 people with early-stage Parkinson's disease over a time span of 6 months, we applied multiple machine learning techniques to find a correlation between the voice recording and the patient's motor UPDRS score.

BIG-bench Machine Learning regression