A stacking ensemble machine learning model to predict alpha-1 antitrypsin deficiency-associated liver disease clinical outcomes based on UK Biobank data

Alpha-1 antitrypsin deficiency associated liver disease (AATD-LD) is a rare genetic disorder and not well-recognized. Predicting the clinical outcomes of AATD-LD and defining patients more likely to progress to advanced liver disease are crucial for better understanding AATD-LD progression and promo...

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Detalles Bibliográficos
Autores principales: Meng, Linxi, Treem, Will, Heap, Graham A., Chen, Jingjing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554039/
https://www.ncbi.nlm.nih.gov/pubmed/36220873
http://dx.doi.org/10.1038/s41598-022-21389-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554039/
https://www.ncbi.nlm.nih.gov/pubmed/36220873
http://dx.doi.org/10.1038/s41598-022-21389-9

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