Machine Learning-based Classifiers for the Prediction of Low Birth Weight

Machine Learning-based Classifiers for the Prediction of Low Birth Weight

Objectives Low birth weight (LBW) is a global concern associated with fetal and neonatal mortality as well as adverse consequences such as intellectual disability, impaired cognitive development, and chronic diseases in adulthood. Numerous factors contribute to LBW and vary based on the region. The...

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Bibliographic Details
Main Authors: Mahya Arayeshgari, Somayeh Najafi-Ghobadi, Hosein Tarhsaz, Sharareh Parami, Leili Tapak
Format: Article
Language:English
Published: The Korean Society of Medical Informatics 2023-01-01
Series:Healthcare Informatics Research
Subjects:
infant
low birth weight
gestational age
abortion
induced
logistic models
machine learning
Online Access:http://www.e-hir.org/upload/pdf/hir-2023-29-1-54.pdf

Internet

http://www.e-hir.org/upload/pdf/hir-2023-29-1-54.pdf

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