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 …

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 …

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 …

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 …

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 …

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 …

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 …

Improving prediction of maternal health risks using PCA features and TreeNet model

L Jamel, M Umer, O Saidani, B Alabduallah… - PeerJ Computer …, 2024 - peerj.com
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 …

Predictive Decision Support Analytic Model for Intelligent Obstetric Risks Management

UG Inyang, IJ Eyoh, CO Nwokoro, FB Osang - International Conference on …, 2021 - Springer
Maternal complications (MC) frequently occur during pregnancies and significantly influence
pregnancy outcome (PO). Screening test results, frequency and database query, and other …

Perinatal health predictors using artificial intelligence: A review

R Ramakrishnan, S Rao, JR He - Women's Health, 2021 - journals.sagepub.com
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; …