Automatic Parkinson disease detection at early stages as a pre-diagnosis tool by using classifiers and a small set of vocal features

2020/01/01 by Gabriel Solana-Lavalle, Juan-Carlos Galán-Hernández, Roberto Rosas-Romero · 136 citations
Computer Science · Medicine · #Artificial intelligence #Artificial neural network #Computer science #Feature selection #Machine learning #Multilayer perceptron #Music and Audio Processing #Pattern recognition (psychology) #Perceptron #Random forest #Set (abstract data type) #Speech Recognition and Synthesis #Support vector machine #Voice and Speech Disorders

paper · doi:10.1016/j.bbe.2020.01.003

published in Journal of Applied Biomedicine 40(1), 505-516 (Elsevier BV)

openalex publication_date 2020/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/26

Citations

• Detrended Fluctuation Analysis of Bach’s Inventions and Sinfonias Pitches
• Stages in the development of Parkinson’s disease-related pathology
• Wrappers for feature subset selection
• Mosaic organization of DNA nucleotides
• Collection and Analysis of a Parkinson Speech Dataset With Multiple Types of Sound Recordings
• A theory for multiresolution signal decomposition: the wavelet representation
• Accurate Telemonitoring of Parkinson's Disease Progression by Noninvasive Speech Tests