Machine Learning Methods for Preterm Birth Prediction: A Review

Machine Learning Methods for Preterm Birth Prediction: A Review

Preterm births affect around 15 million children a year worldwide. Current medical efforts focus on mitigating the effects of prematurity, not on preventing it. Diagnostic methods are based on parent traits and transvaginal ultrasound, during which the length of the cervix is examined. Approximately...

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Bibliographic Details
Main Authors: Tomasz Włodarczyk, Szymon Płotka, Tomasz Szczepański, Przemysław Rokita, Nicole Sochacki-Wójcicka, Jakub Wójcicki, Michał Lipa, Tomasz Trzciński
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Electronics
Subjects:
artificial intelligence
deep learning
machine learning
preterm birth
Online Access:https://www.mdpi.com/2079-9292/10/5/586

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