EEG – Based Bipolar Disorder Deduction Using Machine Learning-Reference-Cited by-同舟云学术

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EEG – Based Bipolar Disorder Deduction Using Machine Learning

Published:2023-10-19 Issue: Volume:12 Page:1-8
ISSN:
Container-title:2023 First International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI)
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Author:

Yamunarani T.¹,Sharveswary ²,Bin Ponniran Asmarashid²,Bin Wan Zaki Wam Suhaimizan²,Bin Mohamed Ali Riyaz Ahmad²,Sivaranjani S.³

Affiliation:

1. KSR Institute for Engineering and Technology,Department of Biomedical Engineering,Namakkal,India

2. Universiti Tun Hussein Onn Malaysia,Faculty of Electrical and Electronic Engineering,Johor,Malaysia

3. M. Kumarasamy College of Engineering,Department of Electronics and Communication Engineering,Karur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10370005/10370765/10370962.pdf?arnumber=10370962

Reference27 articles.

1. Mental Health Prediction Using Machine Learning: Taxonomy, Applications, and Challenges

2. Pattern recognition of magnetic resonance imaging-based gray matter volume measurements classifies bipolar disorder and major depressive disorder

3. Predicting lithium treatment response in bipolar patients using gender-specific gene expression biomarkers and machine learning

4. Predominant polarity classification and associated clinical variables in bipolar disorder: A machine learning approach

5. Identification of bipolar disorder using a combination of multimodality magnetic resonance imaging and machine learning techniques

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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

2. Prediction of Attention Deficit Hyperactivity Disorder Using Machine Learning Models;2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT);2024-05-03

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