Ensemble machine learning framework for predicting maternal health risk during pregnancy

AO Khadidos, F Saleem, S Selvarajan, Z Ullah… - Scientific Reports, 2024 - nature.com
Maternal health risks can cause a range of complications for women during pregnancy. High
blood pressure, abnormal glucose levels, depression, anxiety, and other maternal health …

Machine Learning-Based Box Models for Pregnancy Care and Maternal Mortality Reduction: A Literature Survey

IN Margret, K Rajakumar, KV Arulalan… - IEEE …, 2024 - ieeexplore.ieee.org
Maternal mortality is a major public health concern worldwide. It is the number of
preventable deaths that occur each year due to pregnancy and childbirth. The research …

[HTML][HTML] An explainable machine learning approach for automated medical decision support of heart disease

F Mesquita, G Marques - Data & Knowledge Engineering, 2024 - Elsevier
Abstract Coronary Heart Disease (CHD) is the dominant cause of mortality around the world.
Every year, it causes about 3.9 million deaths in Europe and 1.8 million in the European …

Impact of social media posts' characteristics on movie performance prior to release: an explainable machine learning approach

I Abdulrashid, IS Ahmad, A Musa… - Electronic Commerce …, 2024 - Springer
In the era of invasive social media and advanced artificial intelligence, sentiment analysis
has become a vital tool for e-commerce and businesses to grasp user needs and monitor …

[HTML][HTML] An Explainable Deep Learning-Enhanced IoMT Model for Effective Monitoring and Reduction of Maternal Mortality Risks

SN Saleh, MN Elagamy, YNM Saleh, RA Osman - Future Internet, 2024 - mdpi.com
Maternal mortality (MM) is considered one of the major worldwide concerns. Despite the
advances of artificial intelligence (AI) in healthcare, the lack of transparency in AI models …

Analysis of Health-Related Quality of Life in Elderly Patients with Stroke Complicated by Hypertension in China Using the EQ-5D-3L Scale

S Wang, C Shen, S Yang - Journal of Multidisciplinary Healthcare, 2024 - Taylor & Francis
Purpose To evaluate the health-related quality of life (HRQoL) status of elderly patients with
hypertensive stroke, to understand the factors influencing it, and to provide a basis for the …

Risk Level Prediction for Maternal Health Using Machine Learning Algorithms

D Bajaj, R Kumari, P Bansal - 2023 International Conference …, 2023 - ieeexplore.ieee.org
Machine learning (ML) is a subset of artificial intelligence (AI) that is booming nowadays. It
has the ability to learn from various data available and make predictions about future events …

A Meta-Analysis of Machine Learning Models in Pregnancy Care and Applications

IN Margret, K Rajakumar - 2024 10th International Conference …, 2024 - ieeexplore.ieee.org
Examining the efficacy of machine learning-based box models in pregnancy care, this meta-
analysis delves into diverse models—white, grey, and black box variants—to predict …

[HTML][HTML] Bridging Data Gaps: Predicting Sub-national Maternal Mortality Rates in Kenya Using Machine Learning Models

HM Mwaura, TK Kamanu, BW Kulohoma - Cureus, 2024 - pmc.ncbi.nlm.nih.gov
Introduction Maternal mortality remains a critical global health issue, with ongoing efforts to
reduce its incidence as part of international health priorities. Kenya, a sub-Saharan country …

Integrating Artificial Intelligence in Vital Statistics: Innovations in Public Health Data Analyses

B Lainjo - European Journal of Science, Innovation and …, 2024 - ejsit-journal.com
Birth, death, marriage, and divorce statistics are essential for population studies and primary
factors for public health strategy and evaluation. The application of Artificial Intelligence (AI) …