Mining FDA drug labels using an unsupervised learning technique - topic modeling

BACKGROUND: The Food and Drug Administration (FDA) approved drug labels contain a broad array of information, ranging from adverse drug reactions (ADRs) to drug efficacy, risk-benefit consideration, and more. However, the labeling language used to describe these information is free text often contai...

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Detalles Bibliográficos
Autores principales: Bisgin, Halil, Liu, Zhichao, Fang, Hong, Xu, Xiaowei, Tong, Weida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3236833/
https://www.ncbi.nlm.nih.gov/pubmed/22166012
http://dx.doi.org/10.1186/1471-2105-12-S10-S11

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3236833/
https://www.ncbi.nlm.nih.gov/pubmed/22166012
http://dx.doi.org/10.1186/1471-2105-12-S10-S11

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