An efficient IoT-Artificial intelligence-based disease prediction using lightweight CNN in healthcare system
In recent years, chronic disease (heart or kidney disease) is a leading cause of death worldwide. Chronic disease prediction is a very complicated task. Doctors who are experienced and familiar with this disease can only be able to predict chronic disease. In a healthcare system, the Internet of Thi...
Main Author: | Areej A. Malibari |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-04-01
|
Series: | Measurement: Sensors |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2665917423000314 |
Similar Items
-
Hardware Limitations of Lightweight Cryptographic Designs for IoT in Healthcare
by: Kyriaki Tsantikidou, et al.
Published: (2022-09-01) -
LBSS: A Lightweight Blockchain-Based Security Scheme for IoT-Enabled Healthcare Environment
by: Omar Said
Published: (2022-10-01) -
IoT-Based Multi-Sensor Healthcare Architectures and a Lightweight-Based Privacy Scheme
by: Vassileios Aivaliotis, et al.
Published: (2022-06-01) -
Bibliometric Analysis of IoT Lightweight Cryptography
by: Zenith Dewamuni, et al.
Published: (2023-11-01) -
End-to-end security enabled intelligent remote IoT monitoring system
by: Kashif Saleem, et al.
Published: (2024-03-01)