Using bundle embeddings to predict daily cortisol levels in human subjects

Using bundle embeddings to predict daily cortisol levels in human subjects

Abstract Background Many biological variables sampled from human subjects show a diurnal pattern, which poses special demands on the techniques used to analyze such data. Furthermore, most biological variables belong to nonlinear dynamical systems, which may make linear statistical techniques less s...

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Bibliographic Details
Main Authors: Roelof B. Toonen, Klaas J. Wardenaar, Elisabeth H. Bos, Sonja L. van Ockenburg, Peter de Jonge
Format: Article
Language:English
Published: BMC 2018-03-01
Series:BMC Medical Research Methodology
Subjects:
Time series
Nonlinear dynamic systems
Cortisol
Bundle embeddings
Prediction
Online Access:http://link.springer.com/article/10.1186/s12874-018-0485-y

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http://link.springer.com/article/10.1186/s12874-018-0485-y

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