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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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| Pubblicato in: | Health Inf Sci Syst |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer International Publishing
2019
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| Soggetti: | |
| Accesso online: | 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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