Applications of artificial intelligence and big data analytics in m‐health: A healthcare system perspective

ZF Khan, SR Alotaibi - Journal of healthcare engineering, 2020 - Wiley Online Library
Mobile health (m‐health) is the term of monitoring the health using mobile phones and
patient monitoring devices etc. It has been often deemed as the substantial breakthrough in …

A research on the classification and applicability of the mobile health applications

IM Pires, G Marques, NM Garcia… - Journal of personalized …, 2020 - mdpi.com
Mobile health applications are applied for different purposes. Healthcare professionals and
other users can use this type of mobile applications for specific tasks, such as diagnosis …

Application of smartphone technologies in disease monitoring: a systematic review

JC Moses, S Adibi, SM Shariful Islam… - Healthcare, 2021 - mdpi.com
Technologies play an essential role in monitoring, managing, and self-management of
chronic diseases. Since chronic patients rely on life-long healthcare systems and the current …

Homogeneous data normalization and deep learning: A case study in human activity classification

IM Pires, F Hussain, NM Garcia, P Lameski… - Future Internet, 2020 - mdpi.com
One class of applications for human activity recognition methods is found in mobile devices
for monitoring older adults and people with special needs. Recently, many studies were …

Algorithms for automated diagnosis of cardiovascular diseases based on ECG data: A comprehensive systematic review

HV Denysyuk, RJ Pinto, PM Silva, RP Duarte… - Heliyon, 2023 - cell.com
The prevalence of cardiovascular diseases is increasing around the world. However, the
technology is evolving and can be monitored with low-cost sensors anywhere at any time …

PriADA: Management and Adaptation of Information Based on Data Privacy in Public Environments

H Lopes, IM Pires, H Sánchez San Blas… - Computers, 2020 - mdpi.com
The mobile devices cause a constant struggle for the pursuit of data privacy. Nowadays, it
appears that the number of mobile devices in the world is increasing. With this increase and …

Mobile health (mHealth) application loyalty in young consumers

M Soni, K Jain, I Jajodia - Young Consumers, 2021 - emerald.com
Purpose The emergence of mHealth applications has led to the rise of health-based
services delivered over smartphones. Younger people are often found to be more innovative …

Machine learning for the evaluation of the presence of heart disease

IM Pires, G Marques, NM Garcia, V Ponciano - Procedia Computer Science, 2020 - Elsevier
Currently, heart diseases are prevalent in the population. Machine learning methods may
help in the identification of heart diseases in the different people with the analysis of various …

Improving human activity monitoring by imputation of missing sensory data: experimental study

IM Pires, F Hussain, NM Garcia, E Zdravevski - Future Internet, 2020 - mdpi.com
The automatic recognition of human activities with sensors available in off-the-shelf mobile
devices has been the subject of different research studies in recent years. It may be useful …

An experimental study on the validity and reliability of a smartphone application to acquire temporal variables during the single sit-to-stand test with older adults

DL Marques, HP Neiva, IM Pires, E Zdravevski… - Sensors, 2021 - mdpi.com
Smartphone sensors have often been proposed as pervasive measurement systems to
assess mobility in older adults due to their ease of use and low-cost. This study analyzes a …