On the road to explainable AI in drug-drug interactions prediction: A systematic review

Over the past decade, polypharmacy instances have been common in multi-diseases treatment. However, unwanted drug-drug interactions (DDIs) that might cause unexpected adverse drug events (ADEs) in multiple regimens therapy remain a significant issue. Since artificial intelligence (AI) is ubiquitous...

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Detalles Bibliográficos
Autores principales: Vo, Thanh Hoa, Nguyen, Ngan Thi Kim, Kha, Quang Hien, Le, Nguyen Quoc Khanh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9092071/
https://www.ncbi.nlm.nih.gov/pubmed/35832629
http://dx.doi.org/10.1016/j.csbj.2022.04.021

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9092071/
https://www.ncbi.nlm.nih.gov/pubmed/35832629
http://dx.doi.org/10.1016/j.csbj.2022.04.021

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