A decision tree approach for enhancing real-time response in exigent healthcare unit using edge computing-Reference-Cited by-同舟云学术

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A decision tree approach for enhancing real-time response in exigent healthcare unit using edge computing

Published:2024-04 Issue: Volume:32 Page:100979
ISSN:2665-9174
Container-title:Measurement: Sensors
language:en
Short-container-title:Measurement: Sensors

Author:

Siddiqui Eram Fatima^ORCID,Ahmed Tasneem,Nayak Sandeep Kumar

Publisher

Elsevier BV

Reference37 articles.

1. Point-of-care biosensors for healthcare applications;Daurai,2023

2. Telemedicine prototype to improve medical care and patient and physician safety in lima-Peru;Lujan;Int. J. Eng. Trends Technol.,2022

3. Towards fog-driven iot ehealth: promises and challenges of iot in medicine and healthcare;Farahani;Future Generat. Comput. Syst.,2018

4. Fog computing-based iot for health monitoring system;Paul;J. Sens.,2018

5. A. Kishor, C. Chakraborty, W. Jeberson,A Novel Fog Computing Approach for Minimization of Latency in Healthcare Using Machine Learning..

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1. Decision-based framework to facilitate EDGE computing in smart health care;Multimedia Tools and Applications;2024-09-02

2. Experimental and Numerical Investigation Integrated with Machine Learning (ML) for the Prediction Strategy of DP590/CFRP Composite Laminates;Polymers;2024-06-03

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