Nexus between integrating technology readiness 2.0 index and students'e-library services adoption amid the COVID-19 challenges: implications based on the theory …
BACKGROUND: The advent of the pandemic COVID-19 has resulted in a global crisis that
resulted in the closure of universities and educational institutions worldwide. This study aims …
resulted in the closure of universities and educational institutions worldwide. This study aims …
Trustworthy artificial intelligence in Alzheimer's disease: state of the art, opportunities, and challenges
Abstract Medical applications of Artificial Intelligence (AI) have consistently shown
remarkable performance in providing medical professionals and patients with support for …
remarkable performance in providing medical professionals and patients with support for …
Explainable diabetes classification using hybrid Bayesian-optimized TabNet architecture
LP Joseph, EA Joseph, R Prasad - Computers in Biology and Medicine, 2022 - Elsevier
Diabetes is a deadly chronic disease that occurs when the pancreas is not able to produce
ample insulin or when the body cannot use insulin effectively. If undetected, it may lead to a …
ample insulin or when the body cannot use insulin effectively. If undetected, it may lead to a …
Early-stage risk prediction of non-communicable disease using machine learning in health CPS
Cyber-Physical Systems (CPS) embed computation and communication capability into its
core to regulate physical processes and seamlessly mediate between the cyber and the …
core to regulate physical processes and seamlessly mediate between the cyber and the …
Digital twins for well-being: an overview
Digital twin (DT) has gained success in various industries, and it is now getting attention in
the healthcare industry in the form of well-being digital twin (WDT). In this paper, we present …
the healthcare industry in the form of well-being digital twin (WDT). In this paper, we present …
Machine learning embedded smartphone application for early-stage diabetes risk assessment
Diabetes Mellitus (DM) is a metabolic disease that hampers the function of glucose in the
human body. DM screening remains challenging due to its initial asymptotic be-havior …
human body. DM screening remains challenging due to its initial asymptotic be-havior …
Patient Dropout Prediction in Virtual Health: A Multimodal Dynamic Knowledge Graph and Text Mining Approach
Virtual health has been acclaimed as a transformative force in healthcare delivery. Yet, its
dropout issue is critical that leads to poor health outcomes, increased health, societal, and …
dropout issue is critical that leads to poor health outcomes, increased health, societal, and …
A systematic review on IoT and machine learning algorithms in e-healthcare
D Tenepalli, N TM - … Journal of Computing and Digital Systems, 2024 - journal.uob.edu.bh
In recent years, the Internet of Things (IoT) has been adopted in many applications since its
usage is essential to daily life. Also, it is a developing technology in the healthcare system to …
usage is essential to daily life. Also, it is a developing technology in the healthcare system to …
Implementation of diabetes incidence prediction using a multilayer perceptron neural network
H Song, S Lee - 2021 IEEE International Conference on …, 2021 - ieeexplore.ieee.org
Diabetes is a long-lasting health condition associated with improper regulation of glucose
levels in the body. This chronic disease occurs when blood glucose is too high, causing a …
levels in the body. This chronic disease occurs when blood glucose is too high, causing a …
Disease risk level prediction based on knowledge driven optimized deep ensemble framework
Healthcare information in diverse formats has been steadily boosting the growth of health
systems. This information covers a wide range of new sources, such as computer files, cell …
systems. This information covers a wide range of new sources, such as computer files, cell …