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A Simulation Study to Advance Human-Centred Artificial Intelligence via Digital Citizen Science: Can Large Language Models Transform Current Approaches to Missing Data Imputation?

2025-08-24

Abstract excerpt

<h4>Background</h4> Missing data is a persistent challenge in digital health research, and traditional approaches like Multiple Imputation by Chained Equations (MICE) may not capture complex patterns. While large language models (LLMs) could offer a viable alternative, their use in this context remains understudied. Moreover, a critical gap remains in embedding human-centred artificial intelligence (AI) approache...

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Literature Corpus work
e73b6d9a-12ca-5008-92b0-1b5bc743755a
DOI
10.1101/2025.08.21.25334182
Open publication

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A Simulation Study to Advance Human-Centred Artificial Intelligence via Digital Citizen Science: Can Large Language Models Transform Current Approaches to Missing Data Imputation?DOI 10.1101/2025.08.21.25334182
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