Predicting Post-Stroke Aphasia Speech Performance from Multimodal Data with Explainable Machine Learning.
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| Title: | Predicting Post-Stroke Aphasia Speech Performance from Multimodal Data with Explainable Machine Learning. |
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| Authors: | Parchure S; University of Pennsylvania, Philadelphia, PA, USA 19104., Gupta A; University of Pennsylvania, Philadelphia, PA, USA 19104., Kelkar A; Drexel University, Philadelphia, PA, USA, 19104., Vnenchak L; University of Pennsylvania, Philadelphia, PA, USA 19104., Faseyitan O; University of Pennsylvania, Philadelphia, PA, USA 19104., Medaglia JD; Drexel University, Philadelphia, PA, USA, 19104., Harvey DY; University of Pennsylvania, Philadelphia, PA, USA 19104., Coslett HB; University of Pennsylvania, Philadelphia, PA, USA 19104., Hamilton RH; University of Pennsylvania, Philadelphia, PA, USA 19104. |
| Source: | BioRxiv : the preprint server for biology [bioRxiv] 2026 Feb 05. Date of Electronic Publication: 2026 Feb 05. |
| Publication Type: | Journal Article; Preprint |
| Journal Info: | Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2692-8205 |
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| DOI: | 10.64898/2026.02.02.703416 |
