Software Open Access
SVM code for article: Support vector machine based aphasia classification of transcranial magnetic stimulation language mapping in brain tumor patients.
Ziqian Wang;
Lucius Samo Fekonja;
Felix Dreyer;
Peter Vajkoczy;
Thomas Picht
Here we publish the SVM code used in our analysis of transcranial magnetic stimulation for object naming with machine learning classification shows reorganisation patterns in tumor patients article.
The authors acknowledge the support of the Cluster of Excellence Matters of Activity. Image Space Material funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany´s Excellence Strategy – EXC 2025.
Files
(6.5 kB)
| Name | Size | |
|---|---|---|
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inner_loop_online.m
md5:918570960ae891a2b2126f55724a77ff |
1.7 kB | Download |
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nCV_bagging_online.m
md5:cdc4a4a6631b67b17441e112f3ec539b |
3.9 kB | Download |
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SVMRFE.m
md5:3cbf6a1e3fb41e9215ffead9dc57796e |
877 Bytes | Download |
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| All versions | This version | |
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| Views | 549 | 427 |
| Downloads | 118 | 72 |
| Data volume | 303.2 kB | 150.1 kB |
| Unique views | 450 | 368 |
| Unique downloads | 77 | 53 |
Indexed in
- Publication date:
- March 26, 2020
- DOI:
-
- Keyword(s):
- SVM Machine Learning TMS Language mapping Tumor
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- License (for files):
- Creative Commons Attribution 4.0 International