Predicting Hand Injury Severity Using Bayesian Networks in Cloud-Based Emergency Medicine-Reference-Cited by-同舟云学术

Predicting Hand Injury Severity Using Bayesian Networks in Cloud-Based Emergency Medicine

Published:2024-04-12 Issue: Volume: Page:43-48
ISSN:
Container-title:2024 10th International Conference on Communication and Signal Processing (ICCSP)
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Author:

Yuvaraj S¹,Thinakaran K.²,Srinivas S Porandla³,Sivakumar S.⁴,Ishwarya M.V⁵,Thirumaraiselvan P.⁶

Affiliation:

1. SRM Institute of Science and Technology,Faculty of Engineering and Technology,Department of Electronics and Communication Engineering,Kattankulathur, Chennai,Tamil Nadu,India

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

3. Malla Reddy Institute of Engineering and Technology,Department of Information Technology,Hyderabad,Telangana,India

4. Thanthai Hans Roever College (Autonomous),Department of Computer Science,Perambalur,Tamil Nadu,India

5. Agni College of Technology,Artificial Intelligence and Data science Department,Thazhambur,Tamil Nadu,India

6. Adhiparasakthi Engineering College,Department of Electronics and Communication Engineering,Melmaruvathur,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10543256/10543221/10543734.pdf?arnumber=10543734

Reference18 articles.

1. The effect of weather and temporal factors on emergency hand trauma consultations

2. Web Data Mining with Organized Contents Using Naive Bayes Algorithm

3. Optimizing Electric Vehicle Charging Networks Using Clustering Technique

4. Support Vector Machines Based Predictive Seizure Care using IoT-Wearable EEG Devices for Proactive Intervention in Epilepsy

5. IoT-Driven Image Recognition for Microplastic Analysis in Water Systems using Convolutional Neural Networks