Machine learning and disease prediction in obstetrics

Author:

Arain Zara,Iliodromiti Stamatina,Slabaugh Gregory,David Anna L.,Chowdhury Tina T.ORCID

Publisher

Elsevier BV

Subject

Physiology (medical),Physiology

Reference67 articles.

1. A comprehensive survey on signal processing and machine learning techniques for non-invasive fetal ECG extraction;Abel;Multimedia Tools Appl.,2022

2. Artificial intelligence in obstetrics;Ahn;Obstetr. Gynecol. Sci.,2022

3. Continuous cardiotocography (CTG) as a form of electronic fetal monitoring (EFM) for fetal assessment during labour;Alfirevic;Cochrane Database Syst. Rev.,2017

4. Maternal thyroid profile in first and second trimester of pregnancy is correlated with gestational diabetes mellitus through machine learning;Araya;Placenta,2021

5. An ensemble of neural networks provides expert-level prenatal detection of complex congenital heart disease;Arnaout;Nat. Med.,2021

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4. Maternal Health Risk Prediction with Machine Learning Methods;2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22

5. Automated detection of microscopic placental features indicative of maternal vascular malperfusion using machine learning;Placenta;2024-01

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