Analysis of High-Risk Pregnancies in India Using Artificial Intelligence
Author:
Affiliation:
1. Chitkara University Institute of Engineering and Technology Chitkara University,Punjab,India
2. Chitkara University School of Engineering & Technology Chitkara University,Himachal Pradesh,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10430417/10430480/10431479.pdf?arnumber=10431479
Reference18 articles.
1. Prediction of abnormal pregnancy in pregnant women with Advanced maternal age and Pregestational Diabetes using Machine learning models
2. Optimising Cardiometabolic Risk Factors in Pregnancy: A Review of Risk Prediction Models Targeting Gestational Diabetes and Hypertensive Disorders
3. Machine learning to predict pregnancy outcomes: a systematic review, synthesizing framework and future research agenda
4. The combined effect of pre-pregnancy body mass index and gestational weight gain on the risk of pre-labour and intrapartum caesarean section—The ICE-MCH study
5. Prenatal risk score in high risk pregnancy cases and perinatal outcome: a study from South India
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