Machine learning to predict pregnancy outcomes: a systematic review, synthesizing framework and future research agenda
Abstract Machine Learning (ML) has been widely used in predicting the mode of childbirth and assessing the potential maternal risks during pregnancy. The primary aim of this review study is to explore current research and development perspectives that utilizes the ML techniques to predict the optima...
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Format: | Book |
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BMC,
2022-04-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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Internet
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A1234.567 |
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