Improving medication identification accuracy and regulatory compliance through NLP and ontologies: an analysis of otorhinolaryngology prescriptions (2024)
- Authors:
- USP affiliated authors: MOREIRA, DILVAN DE ABREU - ICMC ; MIRANDA, NELSON JULIO DE OLIVEIRA - ICMC
- Unidade: ICMC
- DOI: 10.1109/WETICE64632.2024.00032
- Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL; ONTOLOGIAS; MEDICAMENTO
- Keywords: Natural Language Processing (NLP); Health Ontologies; Medical Prescription Validation; Patient Care Improvement; Artificial Intelligence in Medicine
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Los Alamitos
- Date published: 2024
- Source:
- Título: Proceedings
- Conference titles: International Conference on Enabling Technologies : Infrastructure for Collaborative Enterprises - WETICE
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
MIRANDA, Nelson Julio de Oliveira et al. Improving medication identification accuracy and regulatory compliance through NLP and ontologies: an analysis of otorhinolaryngology prescriptions. 2024, Anais.. Los Alamitos: IEEE, 2024. Disponível em: https://doi.org/10.1109/WETICE64632.2024.00032. Acesso em: 28 dez. 2025. -
APA
Miranda, N. J. de O., Ferreira, A., Peres, R. P., Botega, L. C., & Moreira, D. de A. (2024). Improving medication identification accuracy and regulatory compliance through NLP and ontologies: an analysis of otorhinolaryngology prescriptions. In Proceedings. Los Alamitos: IEEE. doi:10.1109/WETICE64632.2024.00032 -
NLM
Miranda NJ de O, Ferreira A, Peres RP, Botega LC, Moreira D de A. Improving medication identification accuracy and regulatory compliance through NLP and ontologies: an analysis of otorhinolaryngology prescriptions [Internet]. Proceedings. 2024 ;[citado 2025 dez. 28 ] Available from: https://doi.org/10.1109/WETICE64632.2024.00032 -
Vancouver
Miranda NJ de O, Ferreira A, Peres RP, Botega LC, Moreira D de A. Improving medication identification accuracy and regulatory compliance through NLP and ontologies: an analysis of otorhinolaryngology prescriptions [Internet]. Proceedings. 2024 ;[citado 2025 dez. 28 ] Available from: https://doi.org/10.1109/WETICE64632.2024.00032 - O problema da queda do paciente hospitalizado: uma ontologia para classificação do risco de quedas
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Informações sobre o DOI: 10.1109/WETICE64632.2024.00032 (Fonte: oaDOI API)
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