A Neural Network-based Approach to Prediction of Preterm Birth using Non-invasive Tests

A Neural Network-based Approach to Prediction of Preterm Birth using Non-invasive Tests

Background: One of the main reasons for neonatal deaths is preterm delivery, and infants who have survived preterm birth (PB) are at risk of significant health complications. However, an effective method for reliable and accurate prediction of preterm labor has yet to be proposed.Objective: This stu...

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Bibliographic Details
Main Authors: Masoumeh Mirzamoradi, Hamid Mokhtari Torshizi, Masoumeh Abaspour, Atefeh Ebrahimi, Ali Ameri
Format: Article
Language:English
Published: Shiraz University of Medical Sciences 2024-10-01
Series:Journal of Biomedical Physics and Engineering
Subjects:
premature birth
artificial neural network
machine learning
preterm delivery
preterm labor
pregnancy
Online Access:https://jbpe.sums.ac.ir/article_48465_2737e398d4fe3bc50f0a4876e94ab218.pdf
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https://jbpe.sums.ac.ir/article_48465_2737e398d4fe3bc50f0a4876e94ab218.pdf

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