Multicohort study testing the generalisability of the SASKit-ML stroke and PDAC prognostic model pipeline to other chronic diseases
Objectives To validate and test the generalisability of the SASKit-ML pipeline, a prepublished feature selection and machine learning pipeline for the prediction of health deterioration after a stroke or pancreatic adenocarcinoma event, by using it to identify biomarkers of health deterioration in c...
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| Main Authors: | Daniel Palmer, Larissa Henze, Uwe Walter, Hugo Murua Escobar, Axel Kowald, Georg Fuellen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMJ Publishing Group
2024-09-01
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| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/14/9/e088181.full |
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