Keyword-optimized template insertion for clinical note classification via prompt-based learning

Abstract Background Prompt-based learning involves the additions of prompts (i.e., templates) to the input of pre-trained large language models (PLMs) to adapt them to specific tasks with minimal training. This technique is particularly advantageous in clinical scenarios where the amount of annotate...

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Κύριοι συγγραφείς:	Eugenia Alleva, Isotta Landi, Leslee J. Shaw, Erwin Böttinger, Ipek Ensari, Thomas J. Fuchs
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	BMC 2025-07-01
Σειρά:	BMC Medical Informatics and Decision Making
Θέματα:	NLP Encoders Information extraction Dysmenorrhea Gatortron Prompt
Διαθέσιμο Online:	https://doi.org/10.1186/s12911-025-03071-y
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