Private and energy-efficient decision tree-based disease detection for resource-constrained medical users in mobile healthcare network
In mobile healthcare networks (MHN), outsourced disease detection services demand the
privacy preservation of medical users and health service providers (health clouds). This …
privacy preservation of medical users and health service providers (health clouds). This …
[HTML][HTML] The Application of Artificial Intelligence in Atrial Fibrillation Patients: From Detection to Treatment
H Liang, H Zhang, J Wang, X Shao, S Wu… - Reviews in …, 2024 - imrpress.com
Atrial fibrillation (AF) is the most prevalent arrhythmia worldwide. Although the guidelines for
AF have been updated in recent years, its gradual onset and associated risk of stroke pose …
AF have been updated in recent years, its gradual onset and associated risk of stroke pose …
Efficient detection of cardiac abnormalities via a simplified score-based analysis of the ECG signal
Nowadays, automated analysis of the electrocardiogram (ECG) signal is a popular choice to
facilitates easy and expert-independent detection of lethal cardiovascular diseases (CVDs) …
facilitates easy and expert-independent detection of lethal cardiovascular diseases (CVDs) …
Energy Efficient and Secure Neural Network–based Disease Detection Framework for Mobile Healthcare Network
Adopting mobile healthcare network (MHN) services such as disease detection is fraught
with concerns about the security and privacy of the entities involved and the resource …
with concerns about the security and privacy of the entities involved and the resource …
Privacy-Preserving and Energy-Saving Random Forest-Based Disease Detection Framework for Green Internet of Things in Mobile Healthcare Networks
The privacy of medical data and resource restrictions in the Internet of Things (IoT) nodes
prohibit medical users from utilizing disease detection (DD) services offered by the health …
prohibit medical users from utilizing disease detection (DD) services offered by the health …