A two-stage variable selection and classification approach for Parkinson’s disease detection by using voice recording replications - Naranjo, Lizbeth; Pérez, Carlos J.; Martín, Jacinto; Campos-Roca, Yolanda (Computer methods and programs in biomedicine, 2017)
Keywords: Algorithms; Artificial Intelligence; Bayes Theorem; Bayesian binary regression; Databases, Factual; Diagnosis, Computer-Assisted; Gibbs sampling; Humans; Internal Medicine; Models, Statistical; Other; Parkinson Disease - diagnosis; Parkinson’s disease; Regression Analysis; Replicated measurements; Reproducibility of Results; Sample Size; Sensitivity and Specificity; Software; Speech Acoustics; Variable selection; Voice; Voice features; Voice features; Replicated measurements; Gibbs sampling; Bayesian binary regression; Parkinson’s disease; Variable selection