Machine Learning-Based Approach to Predict Intrauterine Growth Restriction
Author:
Publisher
Springer Science and Business Media LLC
Subject
Aerospace Engineering
Reference17 articles.
1. Fetal-growth disorders,2018
2. Predictive factors for intrauterine growth restriction;Albu AR;J Med Life,2014
3. Risk of fetal death in growth-restricted fetuses with umbilical and/or ductus venosus absent or reversed end-diastolic velocities before 34 weeks of gestation: a systematic review and meta-analysis;Caradeux J;Am J Obstet Gynecol,2018
4. FIGO (international Federation of Gynecology and obstetrics) initiative on fetal growth: best practice advice for screening, diagnosis, and management of fetal growth restriction;Melamed N;Int J Gynaecol Obstet,2021
5. Machine learning approach to predict postpartum haemorrhage: a systematic review protocol;Boujarzadeh B;BMJ Open,2023
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1. Machine learning: a new era for cardiovascular pregnancy physiology and cardio-obstetrics research;American Journal of Physiology-Heart and Circulatory Physiology;2024-08-01
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