Evaluating the generalisability of region-naïve machine learning algorithms for the identification of epilepsy in low-resource settings
Objectives: Approximately 80% of people with epilepsy live in low- and middle-income countries (LMICs), where limited resources and stigma hinder accurate diagnosis and treatment. Clinical machine learning models have demonstrated substantial promise in supporting the diagnostic process in LMICs by...
| Päätekijät: | , , , , , , , , , , , , |
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| Aineistotyyppi: | Journal article |
| Kieli: | English |
| Julkaistu: |
Public Library of Science
2025
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