Article

Evaluating the generalisability of region-naïve machine learning algorithms for the identification of epilepsy in low-resource settings

2024-03-26

Abstract excerpt

<h4>Objectives</h4> 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 without relying on specialised or trained personnel. How well these models generalise to naïve regions is, howev...

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Literature Corpus work: 6d43cedc-572b-5985-a0a3-df012171abaf
DOI: 10.1101/2024.03.25.24304872

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