IoT and Random Forest-Based Solutions for Blood Gas Quality Assurance in Clinical Laboratories-Reference-Cited by-同舟云学术

IoT and Random Forest-Based Solutions for Blood Gas Quality Assurance in Clinical Laboratories

Published:2024-07-10 Issue: Volume: Page:340-345
ISSN:
Container-title:2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS)
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Author:

Sangeethalakshmi K.¹,Mohamed Abuthahir Riazulhameed Arshadh Ariff²,Arunachalam G.³,Muthukumaran D.⁴,Winnie Wise D.C. Joy⁵,Srinivasan C.⁶

Affiliation:

1. R.M.K. College of Engineering and Technology,Department of Electronics and Communication Engineering,Chennai,Tamil Nadu,India

2. Blackstraw Technologies Pvt Ltd,Chennai,Tamil Nadu,India

3. Gnanamani College of Technology (Autonomous),Department of Electronics and Communication Engineering,Namakkal,Tamil Nadu,India

4. Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology,Department of Electronics and Communication Engineering,Chennai,Tamil Nadu,India

5. Rajalakshmi Institute of Technology,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India

6. 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/ielx8/10624685/10624738/10625431.pdf?arnumber=10625431

Reference28 articles.

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

2. Optimizing City Transit: IoT and Gradient Boosting Algorithms for Accurate Bus Arrival Predictions

3. Firefighter Skill Advancement through IoT-Enabled Virtual Reality and CNN-Based Training

4. Internet of Things Assisted Remote Health and Safety Monitoring Scheme Using Intelligent Sensors

5. Marine Propulsion Health Monitoring: Integrating Neural Networks and IoT Sensor Fusion in Predictive Maintenance