Machine Learning-Based Approach to Predict Intrauterine Growth Restriction

Introduction: Creating a prediction model incorporating multiple risk factors for intrauterine growth restriction is vital. The current study employed a machine learning model to predict intrauterine growth restriction. Methods: This cross-sectional study was carried out in a tertiary hospital in Ba...

Descripción completa

Detalles Bibliográficos
Autores principales: Taeidi, Elham, Ranjbar, Amene, Montazeri, Farideh, Mehrnoush, Vahid, Darsareh, Fatemeh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2023
Materias:
Obstetrics/Gynecology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403995/
https://www.ncbi.nlm.nih.gov/pubmed/37546140
http://dx.doi.org/10.7759/cureus.41448

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403995/
https://www.ncbi.nlm.nih.gov/pubmed/37546140
http://dx.doi.org/10.7759/cureus.41448

Ejemplares similares