A comprehensive and systematic literature review on the big data management techniques in the internet of things
Abstract The Internet of Things (IoT) is a communication paradigm and a collection of
heterogeneous interconnected devices. It produces large-scale distributed, and diverse data …
heterogeneous interconnected devices. It produces large-scale distributed, and diverse data …
A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion
The accurate prediction of heart disease is essential to efficiently treating cardiac patients
before a heart attack occurs. This goal can be achieved using an optimal machine learning …
before a heart attack occurs. This goal can be achieved using an optimal machine learning …
An intelligent healthcare monitoring framework using wearable sensors and social networking data
Wearable sensors and social networking platforms play a key role in providing a new
method to collect patient data for efficient healthcare monitoring. However, continuous …
method to collect patient data for efficient healthcare monitoring. However, continuous …
A smart healthcare recommendation system for multidisciplinary diabetes patients with data fusion based on deep ensemble learning
The prediction of human diseases precisely is still an uphill battle task for better and timely
treatment. A multidisciplinary diabetic disease is a life‐threatening disease all over the …
treatment. A multidisciplinary diabetic disease is a life‐threatening disease all over the …
Chatbot-based heathcare service with a knowledge base for cloud computing
K Chung, RC Park - Cluster Computing, 2019 - Springer
With the recent increase in the interest of individuals in health, lifecare, and disease, hospital
medical services have been shifting from a treatment focus to prevention and health …
medical services have been shifting from a treatment focus to prevention and health …
CNN-based health model for regular health factors analysis in internet-of-medical things environment
Remote health monitoring applications with the advent of Internet of Things (IoT)
technologies have changed traditional healthcare services. Additionally, in terms of …
technologies have changed traditional healthcare services. Additionally, in terms of …
Context deep neural network model for predicting depression risk using multiple regression
JW Baek, K Chung - IEEE Access, 2020 - ieeexplore.ieee.org
Depression is a mental illness influenced by various factors, including stress in everyday life,
physical activities, and physical diseases. It accompanies such symptoms as continuous …
physical activities, and physical diseases. It accompanies such symptoms as continuous …
Bibliometric Analysis on Big Data Applications in Insurance Sector: Past, Present, and Future Research Directions
In this study, the key areas and current trends in the field of big data applications in the
insurance industry are identified, along with suggestions for future research initiatives. We …
insurance industry are identified, along with suggestions for future research initiatives. We …
Blockchain network based topic mining process for cognitive manufacturing
Cognitive manufacturing has brought about an innovative change to the 4th industrial
revolution based technology in combination with blockchain distributed ledger, which …
revolution based technology in combination with blockchain distributed ledger, which …
Associative feature information extraction using text mining from health big data
JC Kim, K Chung - Wireless Personal Communications, 2019 - Springer
With the development of big data computing technology, most documents in various areas,
including politics, economics, society, culture, life, and public health, have been digitalized …
including politics, economics, society, culture, life, and public health, have been digitalized …