Advanced Interoperable Framework for Real-Time Predictive Analysis Leveraging Machine Learning and IoT in Smart Health Monitoring Systems-Reference-Cited by-同舟云学术

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Advanced Interoperable Framework for Real-Time Predictive Analysis Leveraging Machine Learning and IoT in Smart Health Monitoring Systems

Published:2023-11-16 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 International Conference on Electrical, Computer and Energy Technologies (ICECET)
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Author:

Pradeesh D. Antony¹,Syamala Y.²,Priya P.³,Sripathi Madhavi⁴,Kaza Srilakshmi⁵,B Rohith Bala Jaswanth²

Affiliation:

1. KG College of Arts and Science,Department of Electronics and Communication Systems,Coimbatore,India

2. Seshadri Rao Gudlavalleru Engineering College,Department of IoT,Vijayawada,Andhra Pradesh

3. The Quaide Milleth College for Men,Department of Computer Science,Chennai,Tamilnadu

4. Rao Gudlavalleru Engineering College,Department of Business and Management Studies Seshadri,Vijayawada,Andhra Pradesh

5. Seshadri Rao Gudlavalleru Engineering College,Department of Electronics and Communication Engineering,Vijayawada,Andhra Pradesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10389177/10389181/10389275.pdf?arnumber=10389275

Reference13 articles.

1. A Comprehensive Survey on Machine Learning-Based Big Data Analytics for IoT-Enabled Smart Healthcare System

2. Ubiquitous and smart healthcare monitoring frameworks based on machine learning: A comprehensive review

3. Intelligent algorithms and standards for interoperability in Internet of Things

4. Human activity recognition using machine learning methods in a smart healthcare environment

5. A remote healthcare monitoring framework for diabetes prediction using machine learning

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhanced Real-Time Analysis and Anomaly Detection in Smart Health Monitoring Systems through Integration of Deep Learning Algorithm with IoT-Edge Computing;2024 International Conference on Computing and Data Science (ICCDS);2024-04-26

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