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Predicting language treatment response in bilingual aphasia using neural network-based patient models
Predicting language therapy outcomes in bilinguals with aphasia (BWA) remains challenging due to the multiple pre- and poststroke factors that determine the deficits and recovery of their two languages. Computational models that simulate language impairment and treatment outcomes in BWA can help pre...
Tallennettuna:
| Julkaisussa: | Sci Rep |
|---|---|
| Päätekijät: | , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Nature Publishing Group UK
2021
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8131385/ https://ncbi.nlm.nih.gov/pubmed/34006902 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-89443-6 |
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