Classification of health product defect reports by deep learning

Abstract Quality defects in substandard medicines represent a threat to public health. Rapid and accurate identification of these defects is critical to prioritise the cases and implement regulatory measures. However, the development of surveillance systems to classify reports of health product defe...

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Autors principals:	Vicente Sancenon, Yiting Huang, Lin Zou, Desmond C. H. Teo, Sreemanee R. Dorajoo, Pei San Ang, Han Leong Goh, Andy W. A. Ta
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2026-03-01
Col·lecció:	Scientific Reports
Matèries:	Deep learning Drug safety Health information management Health product defects Large language model (LLM) Medical dictionary for regulatory activities (MedDRA)
Accés en línia:	https://doi.org/10.1038/s41598-026-43961-3
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Classification of health product defect reports by deep learning

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