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Open access Aug 2026

A machine-assisted framework for systematic error analysis in clinical concept extraction

Error analysis is critical for evaluating and improving clinical natural language processing (NLP) models, yet no standardized framework exists to support systematic error analysis for clinical concept extraction. Here we present MedError, a machine-assisted, human-in-the-loop framework integrating a validated error ta...

Sun-Yang Fu, Qiu-Hao Lu, J. Ahn et al. · 1 citation
#large language models Open access Sep 2026

A multi-site benchmarking framework for scalable extraction of geriatric care constructs from electronic health records

Findings highlight key trade-offs among symbolic, generative, and instruction-tuned approaches for CGA and 4Ms phenotyping, suggesting that hybrid heuristic-LLM methods offer interpretability and stability, whereas large language models provide greater adaptability for complex clinical narratives.

Sun-Yang Fu, M. J. Kwak, J. Ahn et al. · 0 citations

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