Cargando…
Machine learning-based approach for predicting low birth weight
BACKGROUND: Low birth weight (LBW) has been linked to infant mortality. Predicting LBW is a valuable preventative tool and predictor of newborn health risks. The current study employed a machine learning model to predict LBW. METHODS: This study implemented predictive LBW models based on the data ob...
Autores principales: | Ranjbar, Amene, Montazeri, Farideh, Farashah, Mohammadsadegh Vahidi, Mehrnoush, Vahid, Darsareh, Fatemeh, Roozbeh, Nasibeh |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10662167/ https://www.ncbi.nlm.nih.gov/pubmed/37985975 http://dx.doi.org/10.1186/s12884-023-06128-w |
Ejemplares similares
-
Application of machine learning to identify risk factors of birth asphyxia
por: Darsareh, Fatemeh, et al.
Publicado: (2023) -
Prediction of postpartum hemorrhage using traditional statistical analysis and a machine learning approach
por: Mehrnoush, Vahid, et al.
Publicado: (2023) -
Machine Learning-Based Approach to Predict Intrauterine Growth Restriction
por: Taeidi, Elham, et al.
Publicado: (2023) -
Machine learning models for predicting pre-eclampsia: a systematic review protocol
por: Ranjbar, Amene, 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)