Machine Learning for Early Prediction of Preterm Birth

Author:

Teshome Firanol,Gidi Netsanet Workneh,Choe Se-woon,Kong Jude Dzevela,Ayana Gelan

Publisher

Elsevier BV

Reference81 articles.

1. Born Too Soon: The global epidemiology of 15 million preterm births;H Blencowe;Reprod Health,2013

2. Preterm birth: Case definition & guidelines for data collection, analysis, and presentation of immunisation safety data;J-A Quinn;Vaccine,2016

3. Prevalence of preterm birth and associated factors among mothers who gave birth in public hospitals of east Gojjam zone;T B Ayele;BMC Pregnancy Childbirth,2023

4. Development and validation of a simplified algorithm for neonatal gestational age assessment -protocol for the Alliance for Maternal Newborn Health Improvement (AMANHI) prospective cohort study;A Baqui;J Glob Health

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