Machine learning-based risk prediction model for medication administration errors in neonatal intensive care units: a prospective direct observational study

Machine learning-based risk prediction model for medication administration errors in neonatal intensive care units: a prospective direct observational study

Objective: Neonates’ physiological immaturity and complex dosing requirements heighten their susceptibility to medication administration errors (MAEs), with the potential for severe harm and substantial economic impact on healthcare systems. Developing an effective risk prediction model for MAEs is...

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Bibliographic Details
Main Authors: Henry Basil, Josephine, Lim, Wern Han, Syed Ahmad, Sharifah M., Menon Premakumar, Chandini, Mohd Tahir, Nurul Ain, Mhd Ali, Adliah, Seman, Zamtira, Ishak, Shareena, Mohamed Shah, Noraida
Format: Article
Language:English
Published: SAGE Publications 2024
Online Access:http://psasir.upm.edu.my/id/eprint/114697/1/114697.pdf

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http://psasir.upm.edu.my/id/eprint/114697/1/114697.pdf

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