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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...
Autores principales: | Ekpenyong, Moses E., Etebong, Philip I., Jackson, Tenderwealth C. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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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 |
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