| Property | Value |
|---|
| Working Groups |  Dieterich |
| Subproject | None |
| Open Access |  Yes |
| Publication Type | Journal Article |
| Peer Reviewed | Yes |
| PMID |  32529578 |
| DOI |  10.1007/s00415-020-09931-z |
| Publication Year | 2020 |
| Title | Modern machine-learning can support diagnostic differentiation of central and peripheral acute vestibular disorders.  |
| Journal | Journal of neurology |
| ISSN | 0340-5354 |
| ESSN | 1432-1459 |
| URL | https://www.ncbi.nlm.nih.gov/pubmed/?term=32529578%5Buid%5D |
| Pages | 143-152 |
| Issue | Suppl 1 |
| Volume | 267 |
| Journal Abbreviation | J Neurol |
| Authors | Ahmadi SA, Vivar G, Navab N, Möhwald K, Maier A, Hadzhikolev H, Brandt T, Grill E, Dieterich M, Jahn K, Zwergal A |
| First Author | Ahmadi SA |
| Last Author | Zwergal A |
| Scholia |  Wikidata-based representation at Scholia |
External Resources
Q96306567https://www.wikidata.org/wiki/Q96306567
Wikidata ID
