AIMC Topic: Maternal Mortality

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The impact of artificial intelligence (AI) on maternal mortality: evidence from global, developed and developing countries.

Globalization and health Jul 28, 2025
BACKGROUND: This study examines the impact of Artificial Intelligence (AI) on maternal mortality in alignment with Sustainable Development Goal (SDG) 3.1, which aims to reduce maternal mortality to below 70 per 100,000 live births by 2030. Despite ad...
Pregnancy Female Developed Countries Maternal Mortality Humans Artificial Intelligence Global Health Developing Countries
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Application of the random forest algorithm to predict skilled birth attendance and identify determinants among reproductive-age women in 27 Sub-Saharan African countries; machine learning analysis.

BMC public health Mar 6, 2025
INTRODUCTION: Maternal mortality refers to a mother's death owing to complications arising from childbirth or pregnancy. This issue is a forefront public health challenge around the globe which is pronounced in low- and middle-income countries, parti...
Random Forest Africa South of the Sahara Adolescent Midwifery Maternal Mortality Pregnancy Female Young Adult Adult Machine Learning Algorithms Humans
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Exploring the achievements and forecasting of SDG 3 using machine learning algorithms: Bangladesh perspective.

PloS one Mar 4, 2025
BACKGROUND: Sustainable Development Goal 3 (SDG 3), focusing on ensuring healthy lives and well-being for all, holds global significance and is particularly vital for Bangladesh. Neonatal Mortality Rate (NMR), Under-5 Mortality Rate (U5MR), Maternal ...
Algorithms Infant Mortality Forecasting Child, Preschool Sustainable Development Neural Networks, Computer Female Humans Bangladesh Infant Child Mortality Infant, Newborn Machine Learning Maternal Mortality
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Predicting maternal risk level using machine learning models.

BMC pregnancy and childbirth Dec 18, 2024
BACKGROUND: Maternal morbidity and mortality remain critical health concerns globally. As a result, reducing the maternal mortality ratio (MMR) is part of goal 3 in the global sustainable development goals (SDGs), and previously, it was an important ...
Logistic Models Algorithms Support Vector Machine Oman Principal Component Analysis Risk Assessment Female Pregnancy Bayes Theorem Humans Neural Networks, Computer Adult Maternal Mortality Machine Learning
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The role of AI in reducing maternal mortality: Current impacts and future potentials: Protocol for an analytical cross-sectional study.

PloS one Jan 1, 2025
BACKGROUND: Maternal and newborn mortality remains a critical public health challenge, particularly in resource-limited settings. Despite global efforts, Kenya continues to report high maternal mortality rates of over 350 deaths per 100,000 live birt...
Humans Artificial Intelligence Cross-Sectional Studies Female Maternal Health Services Pregnancy Kenya Infant, Newborn Maternal Mortality
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