| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6920945 | Computers in Biology and Medicine | 2016 | 6 Pages |
Abstract
We conclude that classification and regression tree models such as RF methodology are appropriate for the evaluation of fetal maturation age. The decisive role of adjustments between different time scales of complexity may essentially extend previous analysis concepts mainly based on rhythms and univariate complexity indices. Those system characteristics may have implication for better understanding and accessibility of the maturating complex autonomic control and its disturbance.
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Physical Sciences and Engineering
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Computer Science Applications
Authors
F. Tetschke, U. Schneider, E. Schleussner, O.W. Witte, D. Hoyer,