[HTML][HTML] Data mining for wearable sensors in health monitoring systems: a review of recent trends and challenges

H Banaee, MU Ahmed, A Loutfi - Sensors, 2013 - mdpi.com
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 …

Machine and deep learning algorithms for wearable health monitoring

C Fei, R Liu, Z Li, T Wang, FN Baig - Computational intelligence in …, 2021 - Springer
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 …

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 …

Machine learning and mobile health monitoring platforms: a case study on research and implementation challenges

O Boursalie, R Samavi, TE Doyle - Journal of Healthcare Informatics …, 2018 - Springer
Abstract Machine learning-based patient monitoring systems are generally deployed on
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 …

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 …

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 …

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 …

[引用][C] Mobile Machine Learning for Real-time Predictive Monitoring of Cardiovascular Disease