Proposing a machine learning-based model for predicting nonreassuring fetal heart
Proposing a machine learning-based model for predicting nonreassuring fetal heart
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Publisher
London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Contents
The capacity to forecast nonreassuring fetal heart (NFH) is essential for minimizing perinatal complications; therefore, this research aims to establish if a machine learning (ML) model can predict NFH. This was a retrospective analysis of information gathered from singleton cases over the gestational age of 28 weeks that sought vaginal delivery be...
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Full title
Proposing a machine learning-based model for predicting nonreassuring fetal heart
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TN_cdi_doaj_primary_oai_doaj_org_article_f378c3dc82a042c48d9b365143ee37d6
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f378c3dc82a042c48d9b365143ee37d6
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-025-92810-2
