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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Bibliographic Details
Main Authors: Moses E. Ekpenyong, Philip I. Etebong, Tenderwealth C. Jackson
Format: Article
Language:English
Published: Elsevier 2019-07-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844019357408