[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 …
Machine and deep learning algorithms for wearable health monitoring
Because people desire a high quality of life, health is a vital standard of living factor that is
attracting considerable attention. Thus, the development of methods that enable rapid and …
attracting considerable attention. Thus, the development of methods that enable rapid and …
Federated learning for data mining in healthcare
S Sharma, A Kesarwani, S Maheshwari… - Federated Learning for IoT …, 2022 - Springer
Vast developments in technology have occurred in both hardware and software, and now
increasing amounts of data related to healthcare is readily available, for example, the data of …
increasing amounts of data related to healthcare is readily available, for example, the data of …
Machine learning and mobile health monitoring platforms: a case study on research and implementation challenges
Abstract Machine learning-based patient monitoring systems are generally deployed on
remote servers for analyzing heterogeneous data. While recent advances in mobile …
remote servers for analyzing heterogeneous data. While recent advances in mobile …
From Numerical Sensor Data to Semantic Representations: A Data-driven Approach for Generating Linguistic Descriptions
H Banaee - 2018 - diva-portal.org
In our daily lives, sensors recordings are becoming more and more ubiquitous. With the
increased availability of data comes the increased need of systems that can represent the …
increased availability of data comes the increased need of systems that can represent the …
Towards Improving Hypertensive Patients Care: Pervasive Monitoring and Diagnosis Support
J Céspedes, C Villalba - MEDINFO 2015: eHealth-enabled …, 2015 - ebooks.iospress.nl
Hypertension is the most common chronic condition dealt with by primary care physicians
and other health practitioners. It usually has no symptoms, causing a delay in diagnosis …
and other health practitioners. It usually has no symptoms, causing a delay in diagnosis …
A Pattern-Mining Approach for Wearable Sensor-Based Remote Health Care
CS Hemalatha, V Vaidehi - Developments and Trends in Intelligent …, 2018 - igi-global.com
Abstract Rapid advancement in Wireless Sensor Network (WSN) technology facilitates
remote health care solutions without hindering the mobility of a person using Wearable …
remote health care solutions without hindering the mobility of a person using Wearable …
Examination of wireless sensor data using traditional data mining algorithms
DSJ Ghaffoorı - 2017 - openaccess.altinbas.edu.tr
Today, smartphones are always on constant evolution and these devices are becoming
ubiquitous part of daily life. The smart devices now contain many powerful sensors such as …
ubiquitous part of daily life. The smart devices now contain many powerful sensors such as …
[引用][C] Mobile Machine Learning for Real-time Predictive Monitoring of Cardiovascular Disease
O Boursalie - 2016