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FETAL HEART RATE CLASSIFICATION BY NON-PARAMETRIC BAYESIAN METHODS
In this paper, we propose an application of non-parametric Bayesian (NPB) models to classification of fetal heart rate recordings. More specifically, the models are used to discriminate between fetal heart rate recordings that belong to fetuses that may have adverse asphyxia outcomes and those that...
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| Pubblicato in: | Proc IEEE Int Conf Acoust Speech Signal Process |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7893639/ https://ncbi.nlm.nih.gov/pubmed/33613124 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/icassp.2017.7952281 |
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