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RENT – Repeated Elastic Net Technique for Feature Selection with Oliver Tomic (NMBU)
Feature selection is an important task in data analysis in general and especially with healthcare data where patients are often few, and features are many. Apart from prediction, interpretation of models is also of high importance and feature selection has a crucial role in this respect. By combining machine learning with component based multivariate statistical methods (chemometrics) one can design a workflow that helps medical staff gain deeper insights into their data.

In this webinar Oliver Tomic will show how RENT can help in finding stable biomarkers across subgroups of patients as well as giving a touch of personalised medicine by flagging patients that diverge from the rest.

Jan 22, 2021 02:00 PM in Oslo

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