HIGHLIGHTS
- who: Parminder S. Reel from the Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee , BF, UK have published the paper: Machine learning for classification of hypertension subtypes using multi-omics: A multi-centre, retrospective, data-driven study, in the Journal: (JOURNAL)
- what: The aim of this study was to train Machine Learning (ML) algorithms for diagnosing endocrine hypertension subtypes using MOmics data. Evaluation scenarios One of the key objectives of the analysis was to identify the list of most discriminating features for a given disease combination.
- how: The . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.