This paper is in the following e-collection/theme issue:

#xHealthInformatics (23) Machine Learning (2199) Tools, Programs and Algorithms (402) Security and Privacy of mHealth and uHealth (162) #xCardiovascularMedicine (9) #xHealthSystemsandQualityImprovement (17) Telehealth and Telemonitoring (2165)

Published on in Vol 6 (2025)

Preprints (earlier versions) of this paper are available at https://arxiv.org/abs/2501.01027v1, first published .
Real-Time Health Monitoring Using 5G Networks: Deep Learning–Based Architecture for Remote Patient Care

Real-Time Health Monitoring Using 5G Networks: Deep Learning–Based Architecture for Remote Patient Care

Real-Time Health Monitoring Using 5G Networks: Deep Learning–Based Architecture for Remote Patient Care

Authors of this article:

Iqra Batool1 Author Orcid Image
Article Authors Cited by (5) Tweetations Metrics

Journals

  1. Gonzalez-Canete F. Peer Review of “Real-Time Health Monitoring Using 5G Networks: Deep Learning–Based Architecture for Remote Patient Care”. JMIRx Med 2025;6:e83424 View
  2. Bharadwaj S. Peer-Review of “Real-Time Health Monitoring Using 5G Networks: Deep Learning–Based Architecture for Remote Patient Care”. JMIRx Med 2025;6:e83423 View
  3. Zonayed M, Tasnim R, Jhara S, Mimona M, Hussein M, Mobarak M, Salma U. Machine learning and IoT in healthcare: Recent advancements, challenges & future direction. Advances in Biomarker Sciences and Technology 2025;7:335 View

Conference Proceedings

  1. Suganya S, S F, C G, R H, M J. 2025 Tenth International Conference on Science Technology Engineering and Mathematics (ICONSTEM). 5G-Powered Telemedicine Using Recurrent Neural Networks (RNNs) for Emergency Medical Broadcasting Systems View
  2. Jayasudha F, Supreeth B, Mishra R, Sugumaran D, Rameshkumaar V, Tiwari M. 2025 Tenth International Conference on Science Technology Engineering and Mathematics (ICONSTEM). Hybrid CNN-LSTM Model for Healthcare Service Efficiency Prediction and Optimization View