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

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 capacity...

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Bibliographic Details
Main Authors: Nadir Yalçın, Merve Kaşıkcı, Hasan Tolga Çelik, Karel Allegaert, Kutay Demirkan, Şule Yiğit, Murat Yurdakök
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-04-01
Series:Frontiers in Pharmacology
Subjects:
newborn
medication error
machine learning
drug safety
clinical pharmacy
data collection
Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2023.1151560/full

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https://www.frontiersin.org/articles/10.3389/fphar.2023.1151560/full

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