Parkinson's data set

This dataset is composed of a range of biomedical voice measurements from 31 people, 23 with Parkinson's disease (PD). Each column in the table is a particular voice measure, and each row corresponds one of 195 voice recording from these individuals ("name" column). The main aim of the data is to discriminate healthy people from those with PD, according to "status" column which is set to 0 for healthy and 1 for PD.

The data is in ASCII CSV format. The rows of the CSV file contain an instance corresponding to one voice recording. There are around six recordings per patient, the name of the patient is identified in the first column. For further information or to pass on comments, please contact Max Little (littlem '@' robots.ox.ac.uk).

Further details are contained in the following reference -- if you use this dataset, please cite: Max A. Little, Patrick E. McSharry, Eric J. Hunter, Lorraine O. Ramig (2008), 'Suitability of dysphonia measurements for telemonitoring of Parkinson's disease', IEEE Transactions on Biomedical Engineering (to appear).

This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.

This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.

Citation:

Little,Max. (2008). Parkinsons. UCI Machine Learning Repository. https://doi.org/10.24432/C59C74.

Matrix column entries (attributes):

name - ASCII subject name and recording number MDVP:Fo(Hz) - Average vocal fundamental frequency MDVP:Fhi(Hz) - Maximum vocal fundamental frequency MDVP:Flo(Hz) - Minimum vocal fundamental frequency Five measures of variation in Frequency MDVP:Jitter(%) - Percentage of cycle-to-cycle variability of the period duration MDVP:Jitter(Abs) - Absolute value of cycle-to-cycle variability of the period duration MDVP:RAP - Relative measure of the pitch disturbance MDVP:PPQ - Pitch perturbation quotient Jitter:DDP - Average absolute difference of differences between jitter cycles Six measures of variation in amplitude MDVP:Shimmer - Variations in the voice amplitdue MDVP:Shimmer(dB) - Variations in the voice amplitdue in dB Shimmer:APQ3 - Three point amplitude perturbation quotient measured against the average of the three amplitude Shimmer:APQ5 - Five point amplitude perturbation quotient measured against the average of the three amplitude MDVP:APQ - Amplitude perturbation quotient from MDVP Shimmer:DDA - Average absolute difference between the amplitudes of consecutive periods Two measures of ratio of noise to tonal components in the voice NHR - Noise-to-harmonics Ratio and HNR - Harmonics-to-noise Ratio status - Health status of the subject (one) - Parkinson's, (zero) - healthy Two nonlinear dynamical complexity measures RPDE - Recurrence period density entropy D2 - correlation dimension DFA - Signal fractal scaling exponent Three nonlinear measures of fundamental frequency variation spread1 - discrete probability distribution of occurrence of relative semitone variations spread2 - Three nonlinear measures of fundamental frequency variation PPE - Entropy of the discrete probability distribution of occurrence of relative semitone variations