Automated analysis of Parkinson’s Disease on the basis of evaluation of handwriting Michael Kupfer Aug 10, 2020 PDF Handwriting analysis Machine learning health-care Related Comparison of User Models Based on GMM-UBM and I-Vectors for Speech, Handwriting, and Gait Assessment of Parkinson’s Disease Patients Word-Embeddings and Grammar Features to Detect Language Disorders in Alzheimer’s Disease Patients Parallel Representation Learning for the Classification of Pathological Speech: Studies on Parkinson’s Disease and Cleft Lip and Palate Multi-channel Convolutional Neural Networks for Automatic Detection of Speech Deficits in Cochlear Implant Users VOT
