# A Shapley Value-Based Framework for Transparent Machine Learning in ROI-Based Lesion-Symptom Mapping of Aphasia

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-shapley-value-based-framework-for-transparent-machine-learning-in-roi-based/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Rohan Thomas Jepegnanam,V. Surya,A. T. Prabhakar,Mohammed Hasan Ali,S. Silvia Priscila |
| Citations | 0 |
| DOI | 10.64091/atihl.2025.000117 |
| Fields | Neuroscience |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://www.avepubs.com/uploads/articles/175879402861454. ATIHL-117-2025.pdf |
| OpenAlex ID | https://openalex.org/W4414570376 |
| Type | article |
| Year | 2025 |

## Paper authors

- [V. Surya](https://scholariq.org/researchers/v-surya/)

## Paper journal

- [AVE Trends in Intelligent Health Letters](https://scholariq.org/journals/ave-trends-in-intelligent-health-letters/)

## Paper primary topic

- [Neurobiology of Language and Bilingualism](https://scholariq.org/topics/neurobiology-of-language-and-bilingualism/)

## Paper topics

- [Neurobiology of Language and Bilingualism](https://scholariq.org/topics/neurobiology-of-language-and-bilingualism/)
- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.