Prognostication and Risk Factors for Cystic Fibrosis via Automated Machine Learning

Accurate prediction of survival for cystic fibrosis (CF) patients is instrumental in establishing the optimal timing for referring patients with terminal respiratory failure for lung transplantation (LT). Current practice considers referring patients for LT evaluation once the forced expiratory volu...

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Detalles Bibliográficos
Autores principales: Alaa, Ahmed M., van der Schaar, Mihaela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6062529/
https://www.ncbi.nlm.nih.gov/pubmed/30050169
http://dx.doi.org/10.1038/s41598-018-29523-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6062529/
https://www.ncbi.nlm.nih.gov/pubmed/30050169
http://dx.doi.org/10.1038/s41598-018-29523-2

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