Construction of longitudinal prediction targets using semisupervised learning

Volume: 27, Issue: 9, Pages: 2674 - 2693
Published: Jan 8, 2017
Abstract
In establishing prognostic models, often aided by machine learning methods, much effort is concentrated in identifying good predictors. However, the same level of rigor is often absent in improving the outcome side of the models. In this study, we focus on this rather neglected aspect of model development. We are particularly interested in the use of longitudinal information as a way of improving the outcome side of prognostic models. This...
Paper Details
Title
Construction of longitudinal prediction targets using semisupervised learning
Published Date
Jan 8, 2017
Volume
27
Issue
9
Pages
2674 - 2693
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