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

2025-12-11 health informatics Title + abstract only

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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 and prevalence data provided by the National Health Information Portal (known as N...

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

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