Name
Title | ||
|---|---|---|
Assessing clinical utility of machine learning and artificial intelligence approaches to analyze speech recordings in multiple sclerosis: A pilot study |
Abstract | ||
|---|---|---|
Image 1 |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.compbiomed.2022.105853 | Computers in Biology and Medicine |
Keywords | DocType | Volume |
Multiple sclerosis,Dysarthria,Machine learning,Speech acoustics,Phonetics,Technology assessment,Biomedical | Journal | 148 |
ISSN | Citations | PageRank |
0010-4825 | 0 | 0.34 |
References | Authors | |
0 | 9 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Emil Svoboda | 1 | 0 | 0.34 |
| Tomáš Bořil | 2 | 0 | 0.34 |
| Jan Rusz | 3 | 67 | 9.78 |
| Tereza Tykalová | 4 | 2 | 1.05 |
| Dana Horáková | 5 | 0 | 0.34 |
| Charles R. G. Guttman | 6 | 0 | 0.34 |
| Krastan B. Blagoev | 7 | 0 | 0.34 |
| Hiroto Hatabu | 8 | 0 | 0.34 |
| Vlad I. Valtchinov | 9 | 0 | 0.34 |