Bronchopulmonary Dysplasia Predicted by Developing a Machine Learning Model of Genetic and Clinical Information

BACKGROUND: An early and accurate evaluation of the risk of bronchopulmonary dysplasia (BPD) in premature infants is pivotal in implementing preventive strategies. The risk prediction models nowadays for BPD risk that included only clinical factors but without genetic factors are either too complex...

Descripción completa

Detalles Bibliográficos
Autores principales: Dai, Dan, Chen, Huiyao, Dong, Xinran, Chen, Jinglong, Mei, Mei, Lu, Yulan, Yang, Lin, Wu, Bingbing, Cao, Yun, Wang, Jin, Zhou, Wenhao, Qian, Liling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8283015/
https://www.ncbi.nlm.nih.gov/pubmed/34276789
http://dx.doi.org/10.3389/fgene.2021.689071

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8283015/
https://www.ncbi.nlm.nih.gov/pubmed/34276789
http://dx.doi.org/10.3389/fgene.2021.689071

Ejemplares similares