Wearable Sepsis Early Warning Using Cloud Computing and Logistic Regression Predictive Analytics-Reference-Cited by-同舟云学术

Wearable Sepsis Early Warning Using Cloud Computing and Logistic Regression Predictive Analytics

Published:2024-03-14 Issue: Volume: Page:
ISSN:
Container-title:2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)
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Author:

Singh J. Alphas Jeba¹,Gnanasoundharam J.²,Birunda M.³,Sudha G.³,Maniraj S.P.⁴,Srinivasan C.⁵

Affiliation:

1. Thamirabharani Engineering College,Department of Electronics and Communication Engineering,Tirunelveli,Tamil Nadu,India

2. St. Joseph's College of Engineering,Department of Electronics and Instrumentation Engineering,Chennai,Tamil Nadu,India

3. Muthayammal Engineering College (Autonomous),Department of Biomedical Engineering,Namakkal,Tamil Nadu,India

4. SRM Institute of Science and Technology,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India

5. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10522096/10522101/10522250.pdf?arnumber=10522250

Reference17 articles.

1. Early Predicton of Sepsis using Clinical Data

2. Real-time Monitoring and Prediction of Respiratory Diseases Using IoT and Machine Learning

3. Energy Monitoring in Solar-Powered Buildings Using Internet of Things

4. Intelligent Baggage Management in Airports: A Cognitive IoT Approach for Real-Time Tracking, Optimization, and Passenger Engagement

5. Network Security in Cyberspace Using Machine Learning Techniques

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