[HTML][HTML] Data mining for wearable sensors in health monitoring systems: a review of recent trends and challenges
The past few years have witnessed an increase in the development of wearable sensors for
health monitoring systems. This increase has been due to several factors such as …
health monitoring systems. This increase has been due to several factors such as …
Analyzing patient health information based on IoT sensor with AI for improving patient assistance in the future direction
Abstract Internet of Things (IoT) and Artificial Intelligence (AI) play a vital role in the
upcoming years to improve the assistance systems. The IoT devices utilize several sensor …
upcoming years to improve the assistance systems. The IoT devices utilize several sensor …
Hybrid method for mining rules based on enhanced Apriori algorithm with sequential minimal optimization in healthcare industry
M Sornalakshmi, S Balamurali, M Venkatesulu… - Neural Computing and …, 2020 - Springer
Data mining may enable healthcare organizations, with analysis of the different prospects
and connection between seemingly unrelated information, to anticipate trends in the …
and connection between seemingly unrelated information, to anticipate trends in the …
Wearable sensor devices for prevention and rehabilitation in healthcare: Swimming exercise with real-time therapist feedback
Wearable sensor devices are playing an increasingly important role in providing pervasive
and personalized healthcare. Important elements of modern healthcare services are …
and personalized healthcare. Important elements of modern healthcare services are …
A semantic big data platform for integrating heterogeneous wearable data in healthcare
Advances supported by emerging wearable technologies in healthcare promise patients a
provision of high quality of care. Wearable computing systems represent one of the most …
provision of high quality of care. Wearable computing systems represent one of the most …
Knowledge-based dietary nutrition recommendation for obese management
As the basic paradigm of health management has changed from diagnosis and treatment to
preventative management, health improvement and management has received growing …
preventative management, health improvement and management has received growing …
Multi-modal stacked denoising autoencoder for handling missing data in healthcare big data
JC Kim, K Chung - IEEE access, 2020 - ieeexplore.ieee.org
Supply and demand increase in response to healthcare trends. Moreover, personal health
records (PHRs) are being managed by individuals. Such records are collected using …
records (PHRs) are being managed by individuals. Such records are collected using …
[PDF][PDF] Prediction model of user physical activity using data characteristics-based long short-term memory recurrent neural networks
JC Kim, K Chung - KSII Transactions on Internet and Information …, 2019 - koreascience.kr
Recently, mobile healthcare services have attracted significant attention because of the
emerging development and supply of diverse wearable devices. Smartwatches and health …
emerging development and supply of diverse wearable devices. Smartwatches and health …
Semantic Technologies in Sensor-Based Personal Health Monitoring Systems: A Systematic Mapping Study
In recent years, there has been an increased focus on early detection, prevention, and
prediction of diseases. This, together with advances in sensor technology and the Internet of …
prediction of diseases. This, together with advances in sensor technology and the Internet of …
Semantic middleware architectures for IoT healthcare applications
The adoption of the Internet of Things (IoT) in healthcare has received considerable interest
in the past decade. Indeed, IoT-based solutions are poised to transform how we keep …
in the past decade. Indeed, IoT-based solutions are poised to transform how we keep …