[HTML][HTML] Machine learning techniques for prediction in pregnancy complicated by autoimmune rheumatic diseases: Applications and challenges

X Zhou, F Cai, S Li, G Li, C Zhang, J Xie… - International …, 2024 - Elsevier
Autoimmune rheumatic diseases are chronic conditions affecting multiple systems and often
occurring in young women of childbearing age. The diseases and the physiological …

Artificial Intelligence-Driven Approach for Predicting Maternal Health Risk Factors

MM Hosaain, MA Kashem… - 2024 9th South-East …, 2024 - ieeexplore.ieee.org
The development of machine learning has the potential to significantly improve the
identification and treatment of pregnancy-related risks in maternal health. This work uses an …

[HTML][HTML] A fusion of machine learning algorithms and traditional statistical forecasting models for analyzing American healthcare expenditure

J Wang, Z Qin, J Hsu, B Zhou - Healthcare Analytics, 2024 - Elsevier
The American healthcare system allocates considerable resources compared to peer-
developed nations. However, outcomes significantly trail behind, particularly in life …

Comparative analysis of machine learning decision tree-based models for predicting maternal health risks

KE Setiawan, A Kurniawan, SY Prasetyo - Procedia Computer Science, 2024 - Elsevier
The reduction of maternal mortality is part of the steps to realize the actualization of the
human right to health, which is stated in the United Nations Sustainable Development Goals …

Smart Healthcare Based Cyber Physical System Modeling by Block Chain with Cloud 6G Network and Machine Learning Techniques

U Sakthi, A Alasmari, SP Girija, P Senthil… - Wireless Personal …, 2024 - Springer
Smart healthcare cyberphysical systems are systems of future because they combine
physical as well as digital realms to enable the effective operation of medical procedures …

6G Cyber Physical System Based Smart Healthcare Modelling by Mobile Edge Network and Artificial Intelligence

K Ramudu, SK Bansal, CK Shahnazeer… - Wireless Personal …, 2024 - Springer
The ground-breaking paradigm for enabling universal access to sixth generation (6G) edge
computing-based e-healthcare is artificial intelligence (AI). The goal of this project is to …

Cyber Physical System Based Smart Healthcare System with Deep Learning Architectures with Data Analytics

W Xu, H Xu, J Zhang - Wireless Personal Communications, 2024 - Springer
Cyber-physical systems (CPS) have been widely utilized in healthcare industry to provide
excellent patient care in a variety of clinical contexts. Because of the heterogeneity of …

Real-time data acquisition and analysis for predictive modelling of mental healthcare in Indian women with menstrual disorders: unveiling insights and implications …

M Chengathir Selvi, J Chandra Priya… - …, 2024 - Taylor & Francis
The consistency and duration of the menstrual cycle exhibit significant associations with
specific psychiatric conditions throughout an individual's lifespan. The proposed …

Empowering Maternal Health in Bangladesh: Advanced Risk Prediction with Machine Learning

MS Ahammad, SA Sinthia, M Hossain… - 2024 15th …, 2024 - ieeexplore.ieee.org
Maternal risk prediction is a critical component of prenatal care aimed at mitigating adverse
outcomes for pregnant individuals and their babies. In this research, we have employed …

Role of Intelligent Techniques for Cyber-Physical Systems in Healthcare

K Tanchak, S Singhal, A Mishra, OP Suthar - Intelligent Cyber-Physical …, 2024 - Springer
The merging of computer and physical aspects is revolutionizing healthcare via Cyber-
Physical Systems (CPS). The capabilities and security of CPS are enhanced by machine …