Early prediction of maternal health risk factors using machine learning techniques
M Assaduzzaman, A Al Mamun… - … for advancement in …, 2023 - ieeexplore.ieee.org
Nowadays, maternal health issues are one of the most challenging issues all over the world.
Many women die each year during pregnancy and after delivery, which is a major cause of …
Many women die each year during pregnancy and after delivery, which is a major cause of …
Fetal Health Prediction using neural networks
A Chowdhury, A Chahar, R Eswara… - 2022 8th …, 2022 - ieeexplore.ieee.org
A fetus is an unborn child in the basics until it is born into the world. The time when the
women is pregnant, every three months is referred to as a trimester. The fetus grows and …
women is pregnant, every three months is referred to as a trimester. The fetus grows and …
Explainable AI based Maternal Health Risk Prediction using Machine Learning and Deep Learning
A Rahman, MGR Alam - 2023 IEEE World AI IoT Congress …, 2023 - ieeexplore.ieee.org
The significance of prenatal care is highlighted since effective maternal health care
increases the probability of a successful pregnancy and a healthy baby. One of the most …
increases the probability of a successful pregnancy and a healthy baby. One of the most …
A robust machine learning predictive model for maternal health risk
L Pawar, J Malhotra, A Sharma… - 2022 3rd international …, 2022 - ieeexplore.ieee.org
Maternal health refers to the physical, mental, and emotional well-being of mothers
throughout all stages of pregnancy, birth, and the postpartum period. Morbidity and death …
throughout all stages of pregnancy, birth, and the postpartum period. Morbidity and death …
A walkthrough of prediction for pregnancy complications using machine learning: A retrospective
J Pruthi - 2019 - papers.ssrn.com
Woman's life still demands attention and care. Generally, health of woman gains attention
only during pregnancy because of changes in a few physiological parameters which may …
only during pregnancy because of changes in a few physiological parameters which may …
Prediction of maternal health risk with traditional machine learning methods
HB Mutlu, F Durmaz, N Yücel, E Cengil, M Yıldırım - Naturengs, 2023 - dergipark.org.tr
In risky pregnancy, various diseases such as heart, lung, kidney, high blood pressure,
diabetes and liver that pregnant women have before may aggravate the expectant mother's …
diabetes and liver that pregnant women have before may aggravate the expectant mother's …
Feature Weighting Optimization: Genetic Algorithms and Random Forest for Classification of Pregnant Potential Risk
Y Ramdhani, D Maulidia, A Setiadi… - 2022 International …, 2022 - ieeexplore.ieee.org
Many pregnant women still do not want to check their pregnancy to recognize the signs of
high-risk pregnant women. High-risk pregnancies refer to abundant women with several …
high-risk pregnant women. High-risk pregnancies refer to abundant women with several …
Improving prediction of maternal health risks using PCA features and TreeNet model
Maternal healthcare is a critical aspect of public health that focuses on the well-being of
pregnant women before, during, and after childbirth. It encompasses a range of services …
pregnant women before, during, and after childbirth. It encompasses a range of services …
Predictive Decision Support Analytic Model for Intelligent Obstetric Risks Management
Maternal complications (MC) frequently occur during pregnancies and significantly influence
pregnancy outcome (PO). Screening test results, frequency and database query, and other …
pregnancy outcome (PO). Screening test results, frequency and database query, and other …
Perinatal health predictors using artificial intelligence: A review
Advances in public health and medical care have enabled better pregnancy and birth
outcomes. The rates of perinatal health indicators such as maternal mortality and morbidity; …
outcomes. The rates of perinatal health indicators such as maternal mortality and morbidity; …