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Evaluating large language models for natural-language-to-code generation on aggregate Czech public health data analysis

2025-12-11

Abstract excerpt

Large language models (LLMs) are increasingly explored as tools for healthcare research and data analysis. However, their applicability to structured public health datasets, especially in non-English contexts, remains underexamined. We systematically evaluated 11 state-of-the-art LLMs on their ability to generate executable Python code for analytical queries over Czech public health datasets, focusing on incidence...

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Literature Corpus work
4564f295-cefa-5b92-911e-a0e652377d22
DOI
10.64898/2025.12.05.25341697
Open publication

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Evaluating large language models for natural-language-to-code generation on aggregate Czech public health data analysisDOI 10.64898/2025.12.05.25341697
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