A Semi-Supervised Machine Learning Approach in Predicting High-Risk Pregnancies in the Philippines
A Semi-Supervised Machine Learning Approach in Predicting High-Risk Pregnancies in the Philippines
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Publisher
Switzerland: MDPI AG
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Language
English
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Publisher
Switzerland: MDPI AG
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Contents
Early risk tagging is crucial in maternal health, especially because it threatens both the mother and the long-term development of the baby. By tagging high-risk pregnancies, mothers would be given extra care before, during, and after pregnancies, thus reducing the risk of complications. In the Philippines, where the fertility rate is high, especia...
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Full title
A Semi-Supervised Machine Learning Approach in Predicting High-Risk Pregnancies in the Philippines
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TN_cdi_doaj_primary_oai_doaj_org_article_7527cd765732451f8fbc35e405beb095
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7527cd765732451f8fbc35e405beb095
Other Identifiers
ISSN
2075-4418
E-ISSN
2075-4418
DOI
10.3390/diagnostics12112782
