Home / Publications / Pain Research Forum / Papers of the Week / A large language model-based generative natural language processing framework fine-tuned on clinical notes accurately extracts headache frequency from electronic health records.
A large language model-based generative natural language processing framework fine-tuned on clinical notes accurately extracts headache frequency from electronic health records.
Authors
Chiang CC, Luo M, Dumkrieger G, Trivedi S, Chen YC, Chao CJ, Schwedt TJ, Sarker A, Banerjee I
Abstract
To develop a natural language processing (NLP) algorithm that can accurately extract headache frequency from free-text clinical notes.
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