Cargando…
Risk Identification of Bronchopulmonary Dysplasia in Premature Infants Based on Machine Learning
Bronchopulmonary dysplasia (BPD) is one of the most common complications in premature infants. This disease is caused by long-time use of supplemental oxygen, which seriously affects the lung function of the child and imposes a heavy burden on the family and society. This research aims to adopt the...
Autores principales: | Lei, Jintao, Sun, Tiankai, Jiang, Yongjiang, Wu, Ping, Fu, Jinjian, Zhang, Tao, McGrath, Eric |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8415969/ https://www.ncbi.nlm.nih.gov/pubmed/34485204 http://dx.doi.org/10.3389/fped.2021.719352 |
Ejemplares similares
-
An Innovative Model of Bronchopulmonary Dysplasia in Premature Infants
por: Zhang, Xiaoyue, et al.
Publicado: (2020) -
Molecular Mechanism of Caffeine in Preventing Bronchopulmonary Dysplasia in Premature Infants
por: Tian, Congliang, et al.
Publicado: (2022) -
Biomarkers for Bronchopulmonary Dysplasia in the Preterm Infant
por: Rivera, Lidys, et al.
Publicado: (2016) -
Respiratory Tract Microecology and Bronchopulmonary Dysplasia in Preterm Infants
por: Sun, Tong, et al.
Publicado: (2021) -
Bibliometric Analysis of Bronchopulmonary Dysplasia in Extremely Premature Infants in the Web of Science Database Using CiteSpace Software
por: Zhou, Qin, et al.
Publicado: (2021)