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

Crossref DOI link: https://doi.org/10.1038/s41598-022-21389-9

Published Online: 2022-10-11

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Meng, Linxi

Treem, Will

Heap, Graham A.

Chen, Jingjing
Funding

Funding for this research was provided by:

Takeda Development Center Americas, Inc
License Information

Text and Data Mining valid from 2022-10-11

Version of Record valid from 2022-10-11
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Article History

Received: 12 March 2022

Accepted: 27 September 2022

First Online: 11 October 2022

Competing interests

: JC, WT, GH—Employees of Takeda and receive stock/stock options. LM—Takeda intern at the time of this work.

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