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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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| Veröffentlicht in: | Health Inf Sci Syst |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Springer International Publishing
2019
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| Schlagworte: | |
| Online Zugang: | 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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