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Dynamic classification of fetal heart rates by hierarchical Dirichlet process mixture models
In this paper, we propose an application of non-parametric Bayesian (NPB) models for classification of fetal heart rate (FHR) recordings. More specifically, we propose models that are used to differentiate between FHR recordings that are from fetuses with or without adverse outcomes. In our work, we...
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| Published in: | PLoS One |
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| Main Authors: | , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Public Library of Science
2017
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5617214/ https://ncbi.nlm.nih.gov/pubmed/28953927 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0185417 |
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