Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service

S Aminizadeh, A Heidari, M Dehghan, S Toumaj… - Artificial Intelligence in …, 2024 - Elsevier
The healthcare sector, characterized by vast datasets and many diseases, is pivotal in
shaping community health and overall quality of life. Traditional healthcare methods, often …

Advanced IoT-based human activity recognition and localization using deep polynomial neural network

D Khan, A Alshahrani, A Almjally, N Al Mudawi… - Ieee …, 2024 - ieeexplore.ieee.org
Advancements in smartphone sensor technologies have significantly enriched the field of
human activity recognition, facilitating a wide array of applications from health monitoring to …

Innovative healthcare solutions: robust hand gesture recognition of daily life routines using 1D CNN

N Al Mudawi, H Ansar, A Alazeb, H Aljuaid… - … in Bioengineering and …, 2024 - frontiersin.org
Introduction Hand gestures are an effective communication tool that may convey a wealth of
information in a variety of sectors, including medical and education. E-learning has grown …

Coaching to develop leadership of healthcare managers: a mixed-methods systematic review

S Hu, M Välimäki, S Liu, X Li, B Shumaila… - BMC medical …, 2024 - Springer
Introduction Coaching is commonly used to facilitate leadership development among
healthcare managers. However, there is limited knowledge of the components of coaching …

Biosensor-based multimodal deep human locomotion decoding via internet of healthcare things

M Javeed, M Abdelhaq, A Algarni, A Jalal - Micromachines, 2023 - mdpi.com
Multiple Internet of Healthcare Things (IoHT)-based devices have been utilized as sensing
methodologies for human locomotion decoding to aid in applications related to e-healthcare …

Leveraging AI-Enabled Information Systems for Healthcare Management

Z Amiri - Journal of Computer Information Systems, 2024 - Taylor & Francis
Artificial Intelligence (AI) is transforming healthcare management by improving decision-
making, developing patient results, and maximizing productivity. Nevertheless, limitations in …

Advanced forecasting of COVID-19 epidemic: Leveraging ensemble models, advanced optimization, and decomposition techniques

Y Yin, I Ahmadianfar, FK Karim, H Elmannai - Computers in Biology and …, 2024 - Elsevier
In the global effort to address the outbreak of the new coronavirus pneumonia (COVID-19)
pandemic, accurate forecasting of epidemic patterns has become crucial for implementing …

[HTML][HTML] The applications of internet of things in smart healthcare sectors: a bibliometric and deep study

H Ziwei, Z Dongni, Z Man, D Yixin, Z Shuanghui… - Heliyon, 2024 - ncbi.nlm.nih.gov
The recent attention garnered by Internet of Things (IoT) technology for its potential to
alleviate challenges faced by healthcare systems, such as those resulting from an aging …

Multi-step influenza forecasting through singular value decomposition and kernel ridge regression with MARCOS-guided gradient-based optimization

G Hongliang, Z Zhiyao, I Ahmadianfar… - Computers in Biology …, 2024 - Elsevier
This research delves into the significance of influenza outbreaks in public health, particularly
the importance of accurate forecasts using weekly Influenza-like illness (ILI) rates. The …

The applications of edge computing and the internet of things in the healthcare and medical sectors: A bibliometric analysis

H Ziwei, Z Dongni, Z Man, D Yixin, Z Shuanghui… - Heliyon, 2024 - cell.com
The recent attention garnered by Internet of Things (IoT) technology for its potential to
alleviate challenges faced by healthcare systems, such as those resulting from an aging …