Latest research trends in fall detection and prevention using machine learning: A systematic review
Falls are unusual actions that cause a significant health risk among older people. The
growing percentage of people of old age requires urgent development of fall detection and …
growing percentage of people of old age requires urgent development of fall detection and …
[HTML][HTML] Blockchain-based recommender systems: Applications, challenges and future opportunities
Recommender systems have been widely used in different application domains including
energy-preservation, e-commerce, healthcare, social media, etc. Such applications require …
energy-preservation, e-commerce, healthcare, social media, etc. Such applications require …
From bit to bedside: a practical framework for artificial intelligence product development in healthcare
Artificial intelligence (AI) in healthcare holds great potential to expand access to high‐quality
medical care, while reducing systemic costs. Despite hitting headlines regularly and many …
medical care, while reducing systemic costs. Despite hitting headlines regularly and many …
The state of the art in methodologies of course recommender systems—a review of recent research
In recent years, education institutions have offered a wide range of course selections with
overlaps. This presents significant challenges to students in selecting successful courses …
overlaps. This presents significant challenges to students in selecting successful courses …
[PDF][PDF] Hybrid of K-Means and partitioning around medoids for predicting COVID-19 cases: Iraq case study
ABSTRACT COVID-19 was discovered near the end of 2019 in Wuhan, China. In a short
period, the virus had spread throughout the entire world. One of the primary concerns of …
period, the virus had spread throughout the entire world. One of the primary concerns of …
A comprehensive review of recommender systems: Transitioning from theory to practice
Recommender Systems (RS) play an integral role in enhancing user experiences by
providing personalized item suggestions. This survey reviews the progress in RS inclusively …
providing personalized item suggestions. This survey reviews the progress in RS inclusively …
Diagnosis of chronic diseases based on patients' health records in IoT healthcare using the recommender system
Due to the growth of IoT applications, especially health care, the information of patients'
health records using data collection from IoT‐connected devices has been considered …
health records using data collection from IoT‐connected devices has been considered …
Proposed neural SAE-based medical image cryptography framework using deep extracted features for smart IoT healthcare applications
Image cryptography based on chaos algorithms is widely employed in modern security
systems in telemedicine Internet of Things (IoT) applications. One of the main drawbacks of …
systems in telemedicine Internet of Things (IoT) applications. One of the main drawbacks of …
Implementing machine learning algorithms to classify postures and forecast motions when using a dynamic chair
Many modern jobs require long periods of sitting on a chair that may result in serious health
complications. Dynamic chairs are proposed as alternatives to the traditional sitting chairs; …
complications. Dynamic chairs are proposed as alternatives to the traditional sitting chairs; …
Enhanced vaccine recommender system to prevent COVID-19 based on clustering and classification
BN Adday, FAJ Shaban, MR Jawad… - … on engineering and …, 2021 - ieeexplore.ieee.org
Due to the fact that countries are presently dealing with the third wave of COVID-19
pandemic and in present time, the data of vaccines for preventing COVID-19 has triggered …
pandemic and in present time, the data of vaccines for preventing COVID-19 has triggered …