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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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Main Authors: | , , |
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Formato: | Artigo |
Idioma: | Inglês |
Publicado em: |
2013
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Assuntos: | |
Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4162393/ https://ncbi.nlm.nih.gov/pubmed/23920640 |
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