Parkinson’s disease detection based on features refinement through L1 regularized SVM and deep neural network

• Published in: Scientific reports Vol. 14; no. 1; pp. 1333 - 14
• Main Authors: Ali, Liaqat, Javeed, Ashir, Noor, Adeeb, Rauf, Hafiz Tayyab, Kadry, Seifedine, Gandomi, Amir H.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 16.01.2024; Nature Publishing Group; Nature Portfolio
• Subjects: 631/114/1305; 631/114/1314; 631/114/2164; 639/705/1042; 639/705/258; Accuracy; Algorithms; Disease detection; Humanities and Social Sciences; Humans; Movement disorders; multidisciplinary; Neural networks; Neural Networks, Computer; Neurodegenerative diseases; Parkinson Disease - diagnosis; Parkinson's disease; Science; Science (multidisciplinary); Support Vector Machine; Voice

In previous studies, replicated and multiple types of speech data have been used for Parkinson’s disease (PD) detection. However, two main problems in these studies are lower PD detection accuracy and inappropriate validation methodologies leading to unreliable results. This study discusses the effe...