Fine-tuning FinBERT on Finnish medical text produces embedding geometry shifts whose correlation with downstream performance the authors attempt to measure as a potential early signal for domain adaptation benefit.
Bioinformatics36(4), 1234–1240 (2020)
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LLM framework extracts breast cancer phenotypes from clinical notes with accuracy comparable to ontology-based methods and greater adaptability to new diseases.
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Domain Fine-Tuning FinBERT on Finnish Histopathological Reports: Train-Time Signals and Downstream Correlations
Fine-tuning FinBERT on Finnish medical text produces embedding geometry shifts whose correlation with downstream performance the authors attempt to measure as a potential early signal for domain adaptation benefit.
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Extracting Breast Cancer Phenotypes from Clinical Notes: Comparing LLMs with Classical Ontology Methods
LLM framework extracts breast cancer phenotypes from clinical notes with accuracy comparable to ontology-based methods and greater adaptability to new diseases.