Detecting Adverse Drug Events with Rapidly Trained Classification Models

INTRODUCTION: Identifying occurrences of medication side effects and adverse drug events (ADEs) is an important and challenging task because they are frequently only mentioned in clinical narrative and are not formally reported. METHODS: We developed a natural language processing (NLP) system that a...

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Detalles Bibliográficos
Autores principales: Chapman, Alec B., Peterson, Kelly S., Alba, Patrick R., DuVall, Scott L., Patterson, Olga V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2019
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6373386/
https://www.ncbi.nlm.nih.gov/pubmed/30649737
http://dx.doi.org/10.1007/s40264-018-0763-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6373386/
https://www.ncbi.nlm.nih.gov/pubmed/30649737
http://dx.doi.org/10.1007/s40264-018-0763-y

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