Large language models as medical codes selectors: a benchmark using the International Classification of Primary Care (2025)
- Authors:
- USP affiliated authors: FINGER, MARCELO - IME ; LOPEZ, LUIS FERNANDEZ - FM ; ALMEIDA, VINICIUS ANJOS DE - FM
- Unidades: IME; FM
- Subjects: LINGUÍSTICA COMPUTACIONAL; INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Conference titles: Conference on Neural Information Processing Systems - NeurIPS 2025
-
ABNT
ALMEIDA, Vinicius Anjos de et al. Large language models as medical codes selectors: a benchmark using the International Classification of Primary Care. 2025, Anais.. San Diego: NeurIPS, 2025. Disponível em: https://openreview.net/pdf?id=Kl7KZwJFEG. Acesso em: 09 fev. 2026. -
APA
Almeida, V. A. de, Camargo, V. de, Gomez-Bravo, R., Boven, K. van, Haring, E. van der, Finger, M., & Lopez, L. F. (2025). Large language models as medical codes selectors: a benchmark using the International Classification of Primary Care. In . San Diego: NeurIPS. Recuperado de https://openreview.net/pdf?id=Kl7KZwJFEG -
NLM
Almeida VA de, Camargo V de, Gomez-Bravo R, Boven K van, Haring E van der, Finger M, Lopez LF. Large language models as medical codes selectors: a benchmark using the International Classification of Primary Care [Internet]. 2025 ;[citado 2026 fev. 09 ] Available from: https://openreview.net/pdf?id=Kl7KZwJFEG -
Vancouver
Almeida VA de, Camargo V de, Gomez-Bravo R, Boven K van, Haring E van der, Finger M, Lopez LF. Large language models as medical codes selectors: a benchmark using the International Classification of Primary Care [Internet]. 2025 ;[citado 2026 fev. 09 ] Available from: https://openreview.net/pdf?id=Kl7KZwJFEG - Paraconsistents artificial neural networks applied to the study of mutational patterns of the F subtype of the viral strains of HIV-1 to antiretroviral therapy
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