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 …
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 …
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 …
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 …
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 …
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 …
The consistency and duration of the menstrual cycle exhibit significant associations with specific psychiatric conditions throughout an individual's lifespan. The proposed …
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 …
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 …