Cargando…
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...
Autores principales: | Taeidi, Elham, Ranjbar, Amene, Montazeri, Farideh, Mehrnoush, Vahid, Darsareh, Fatemeh |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2023
|
Materias: | |
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 |
Ejemplares similares
-
Machine learning models for predicting pre-eclampsia: a systematic review protocol
por: Ranjbar, Amene, et al.
Publicado: (2023) -
Analysis of Cesarean Section Rates in a Public Tertiary Hospital During Teaching and Non-teaching Periods Using the Robson Ten Group Classification System
por: Rezaei Ghamsari, Sepideh, et al.
Publicado: (2023) -
Manifestation of Spontaneous Rupture of the Urinary Bladder in Pregnancy: A Systematic Review of the Literature
por: Ranjbar, Amene, et al.
Publicado: (2023) -
Maternal and Neonatal Outcomes of Sub-clinical Hypothyroidism Treated With Levothyroxine in Pregnancy: A Retrospective Cohort Study
por: Safavi Ardabili, Nastaran, et al.
Publicado: (2023) -
The Incidence and Outcomes of Late-Term Pregnancy
por: Ranjbar, Amene, et al.
Publicado: (2023)