[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 …
occurring in young women of childbearing age. The diseases and the physiological …
[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 …
developed nations. However, outcomes significantly trail behind, particularly in life …
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 …
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 …
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 …
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 …
specific psychiatric conditions throughout an individual's lifespan. The proposed …
Unlocking Maternal Outcome Prediction Potential: A Comprehensive Analysis of the ConvXGB Model Integrating XGBoost and Deep Learning” at Evolving Systems.
The significance of maternal health cannot be overemphasized, and the ability to predict
maternal outcomes accurately is critical to ensuring the well-being of both mothers and …
maternal outcomes accurately is critical to ensuring the well-being of both mothers and …
Exploration of Machine Learning Methods in Medical Disease Prediction: A Systematic Literature Review
RS Nurhalizah, H Jayusman - Journal of Advanced Health …, 2023 - ejournal.ptti.web.id
Abstract Exploration of Machine Learning methods in the systematic literature shows
successful applications in disease diagnosis, disease prediction, and treatment planning …
successful applications in disease diagnosis, disease prediction, and treatment planning …