EEG Based Machine Learning Models for Automated Depression Detection-Reference-Cited by-同舟云学术

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EEG Based Machine Learning Models for Automated Depression Detection

Published:2023-07-14 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)
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Author:

Shivcharan M¹,Boby Kiran¹,Sridevi V¹

Affiliation:

1. NIT Tiruchirappalli,Department of Instrumentation and Control Engineering,Tiruchirappalli,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10234680/10234728/10234686.pdf?arnumber=10234686

Reference14 articles.

1. An introduction to variable and feature selection;yon;The Journal of Machine Learning Research,2003

2. Review on EEG and ERP predictive biomarkers for major depressive disorder

3. Improved Patient-Independent System for Detection of Electrical Onset of Seizures

4. A wavelet-based technique to predict treatment outcome for Major Depressive Disorder

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. Disorder Detection on EEG Signals and Brain Images Using a Hybrid Approach of Combining the Convolutional Neural Network and Artificial Neural Network (CANN);2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT);2024-05-03

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