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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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| Pubblicato in: | PLoS One |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2017
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| Soggetti: | |
| Accesso online: | 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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