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Identifying Unproven Cancer Treatments on the Health Web: Addressing Accuracy, Generalizability and Scalability

Building machine learning models that identify unproven cancer treatments on the Health Web is a promising approach for dealing with the dissemination of false and dangerous information to vulnerable health consumers. Aside from the obvious requirement of accuracy, two issues are of practical import...

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Detalhes bibliográficos
Main Authors: Aphinyanaphongs, Yin, Fu, Lawrence D., Aliferis, Constantin F.
Formato: Artigo
Idioma:Inglês
Publicado em: 2013
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4162393/
https://ncbi.nlm.nih.gov/pubmed/23920640
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