Development and validation of a machine learning-based detection system to improve precision screening for medication errors in the neonatal intensive care unit

Aim: To develop models that predict the presence of medication errors (MEs) (prescription, preparation, administration, and monitoring) using machine learning in NICU patients. Design: Prospective, observational cohort study randomized with machine learning (ML) algorithms. Setting: A 22-bed capacit...

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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: Frontiers Media S.A. 2023
Materias:
Pharmacology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10140576/
https://www.ncbi.nlm.nih.gov/pubmed/37124199
http://dx.doi.org/10.3389/fphar.2023.1151560

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10140576/
https://www.ncbi.nlm.nih.gov/pubmed/37124199
http://dx.doi.org/10.3389/fphar.2023.1151560

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