Machine learning for prediction of bronchopulmonary dysplasia-free survival among very preterm infants

BACKGROUND: Bronchopulmonary dysplasia (BPD) is one of the most common and serious sequelae of prematurity. Prompt diagnosis using prediction tools is crucial for early intervention and prevention of further adverse effects. This study aims to develop a BPD-free survival prediction tool based on the...

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Detalles Bibliográficos
Autores principales: Leigh, Rebekah M., Pham, Andrew, Rao, Srinandini S., Vora, Farha M., Hou, Gina, Kent, Chelsea, Rodriguez, Abigail, Narang, Arvind, Tan, John B. C., Chou, Fu-Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9469562/
https://www.ncbi.nlm.nih.gov/pubmed/36100848
http://dx.doi.org/10.1186/s12887-022-03602-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9469562/
https://www.ncbi.nlm.nih.gov/pubmed/36100848
http://dx.doi.org/10.1186/s12887-022-03602-w

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