Development of a machine learning model to identify the predictors of the neonatal intensive care unit admission

Development of a machine learning model to identify the predictors of the neonatal intensive care unit admission

Abstract Scientists aim to create a system that can predict the likelihood of newborns being admitted to the neonatal intensive care unit (NICU) by combining various statistical methods. This prediction could potentially reduce the negative health outcomes, deaths, and medical costs associated with...

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Bibliographic Details
Main Authors: Narges Malakooti, Vahid Mehrnoush, Fatemeh Abdi, Mohammad Sadegh Vahidi Farashah, Fatemeh Darsareh
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Neonatal outcome
Neonatal intensive care unit
Pregnancy
Pregnancy outcome
Machine learning
Online Access:https://doi.org/10.1038/s41598-025-06651-0
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https://doi.org/10.1038/s41598-025-06651-0

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