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Fuzzy-multidimensional deep learning for efficient prediction of patient response to antiretroviral therapy

Drug component interactions are most likely to trigger unexpected pharmacological effects with unknown causal mechanisms, hence, demanding the discovery of patterns to establish suitable and effective regimens. This paper proposes a novel framework that embeds machine learning (ML) and multidimensio...

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Detalles Bibliográficos
Autores principales: Ekpenyong, Moses E., Etebong, Philip I., Jackson, Tenderwealth C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6656963/
https://www.ncbi.nlm.nih.gov/pubmed/31372545
http://dx.doi.org/10.1016/j.heliyon.2019.e02080