A transfer learning approach to drug resistance classification in mixed HIV dataset

A transfer learning approach to drug resistance classification in mixed HIV dataset

As we advance towards individualized therapy, the ‘one-size-fits-all’ regimen is gradually paving the way for adaptive techniques that address the complexities of failed treatments. Treatment failure is associated with factors such as poor drug adherence, adverse side effect/reaction, co-infection,...

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Bibliographic Details
Main Authors: Moses E. Ekpenyong, Mercy E. Edoho, Ifiok J. Udo, Philip I. Etebong, Nseobong P. Uto, Tenderwealth C. Jackson, Nkem M. Obiakor
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Adverse drug reaction
Treatment failure
Individualized therapy
HIV/AIDS
Semi-supervised learning
Transfer learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914821000587

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http://www.sciencedirect.com/science/article/pii/S2352914821000587

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