title = {Assessing clinical utility of machine learning and artificial intelligence approaches to analyze speech recordings in multiple sclerosis: {A} pilot study},
journal = {Computers in Biology and Medicine},
volume = {148},
pages = {105853},
year = {2022},
issn = {0010-4825},
doi = {https://doi.org/10.1016/j.compbiomed.2022.105853},
url = {https://www.sciencedirect.com/science/article/pii/S0010482522006072},
author = {E. Svoboda and T. Bo\v{r}il and J. Rusz and T. Tykalov\'{a} and D. Hor\'{a}kov\'{a} and C.R.G. Guttmann and K.B. Blagoev and H. Hatabu and V.I. Valtchinov},
keywords = {Multiple sclerosis, Dysarthria, Machine learning, Speech acoustics, Phonetics, Technology assessment, Biomedical}