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Browse normalized, publication-ready research with direct links to its evidence and source.
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Readable research linked to original sources
Browse normalized, publication-ready research with direct links to its evidence and source.
Loading articles data…
Readable research linked to original sources
Browse normalized, publication-ready research with direct links to its evidence and source.
2 articles
Newest firstBackgroundMissing 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) approaches that inte…
Open article record in new tab ↗ObjectiveElectronic health records (EHRs) collected from diverse healthcare institutions offer a rich and representative data source for clinical research. Federated learning enables analysis of these distributed data without sharing sensitive patient-level information, preserving privacy. However, missing data remain a major challenge and can introduce substantial bias if not properly addressed. Very few distribu…
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