Novel Method for Early Prediction of Clinically Significant Drug–Drug Interactions with a Machine Learning Algorithm Based on Risk Matrix Analysis in the NICU

Aims: Evidence for drug–drug interactions (DDIs) that may cause age-dependent differences in the incidence and severity of adverse drug reactions (ADRs) in newborns is sparse. We aimed to develop machine learning (ML) algorithms that predict DDI presence by integrating each DDI, which is objectively...

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Detalles Bibliográficos
Autores principales: Yalçın, Nadir, Kaşıkcı, Merve, Çelik, Hasan Tolga, Allegaert, Karel, Demirkan, Kutay, Yiğit, Şule, Yurdakök, Murat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9410171/
https://www.ncbi.nlm.nih.gov/pubmed/36012954
http://dx.doi.org/10.3390/jcm11164715

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9410171/
https://www.ncbi.nlm.nih.gov/pubmed/36012954
http://dx.doi.org/10.3390/jcm11164715

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