A System Architecture to Implement Deep Learning Techniques for Patients Monitoring with Heart Disease: Case of Telerehabilitation

Khaoula Slime, Abderrahim Maizate, Larbi Hassouni, Najat Mouine

2021

Abstract

The development of information technologies and the introduction of artificial intelligence in the healthcare sector is becoming a great wealth. It allows timely remote diagnosis by specialists and then reduces the cost of unnecessary transfers. Nowadays, older people and the increase of chronic diseases pose new challenges to health systems. We can overcome these challenges by the use of new technologies and artificial intelligence tools. This work aims to present a new approach to use machine learning to predict cardiac problems. As known, heart disease is the deadliest reason for morbidity. However, early detection of cardiac anomalies can prevent heart attack and solve patient life. That is why we think to design and build an e-health platform that will enable telemedicine acts such as remote monitoring and remote assistance. We will first focus on the telerehabilitation of patients suffering from heart disease.

Paper Citation

in Harvard Style

Slime K., Maizate A., Hassouni L. and Mouine N. (2021). A System Architecture to Implement Deep Learning Techniques for Patients Monitoring with Heart Disease: Case of Telerehabilitation. In Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML, ISBN 978-989-758-559-3, pages 483-487. DOI: 10.5220/0010737100003101

in Bibtex Style

@conference{bml21,
author={Khaoula Slime and Abderrahim Maizate and Larbi Hassouni and Najat Mouine},
title={A System Architecture to Implement Deep Learning Techniques for Patients Monitoring with Heart Disease: Case of Telerehabilitation},
booktitle={Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML,},
year={2021},
pages={483-487},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010737100003101},
isbn={978-989-758-559-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML,
TI - A System Architecture to Implement Deep Learning Techniques for Patients Monitoring with Heart Disease: Case of Telerehabilitation
SN - 978-989-758-559-3
AU - Slime K.
AU - Maizate A.
AU - Hassouni L.
AU - Mouine N.
PY - 2021
SP - 483
EP - 487
DO - 10.5220/0010737100003101