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Predicting Clinical Outcomes of Alpha-1 Antitrypsin Deficiency-Associated Liver Disease Using a Stacking Ensemble Machine Learning Model Based on UK Biobank Data

2022-03-21

Abstract excerpt

With many unknowns in alpha-1-antitrypsin deficiency-associated liver disease (AATD-LD), we aimed to develop a tailored stacking ensemble supervised machine learning (ML) model to predict the disease progression and clinical outcomes of AATD-LD to enable the data-driven decision-making for the clinical outcome endpoints selection as well as clinical development strategy. This analysis was carried out through a sta...

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Literature Corpus work
79d2b5d5-d932-507a-8c96-be2d39466ad0
DOI
10.21203/rs.3.rs-1445596/v1
Open publication

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Predicting Clinical Outcomes of Alpha-1 Antitrypsin Deficiency-Associated Liver Disease Using a Stacking Ensemble Machine Learning Model Based on UK Biobank DataDOI 10.21203/rs.3.rs-1445596/v1
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