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Prediction of intrapartum fetal hypoxia considering feature selection algorithms and machine learning models
INTRODUCTION: Cardiotocography (CTG) consists of two biophysical signals that are fetal heart rate (FHR) and uterine contraction (UC). In this research area, the computerized systems are usually utilized to provide more objective and repeatable results. MATERIALS AND METHODS: Feature selection algor...
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| Publicado no: | Health Inf Sci Syst |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer International Publishing
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6702252/ https://ncbi.nlm.nih.gov/pubmed/31435480 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s13755-019-0079-z |
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