Identification of Attention Deficit/Hyperactivity Disorder in Children Using Multiple ERP Features-Reference-Cited by-全球学者库

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Identification of Attention Deficit/Hyperactivity Disorder in Children Using Multiple ERP Features

Published:2018-09-04 Issue:5 Volume:13 Page:501-507
ISSN:1574-8936
Container-title:Current Bioinformatics
language:en
Short-container-title:CBIO

Author:

Li Wenjie¹,Zhou Tiantong¹,Zou Ling¹,Lu Jieru¹,Liu Hui²,Wang Suhong³

Affiliation:

1. School of Information Science and Engineering, Changzhou University, Changzhou, China

2. School of Business, Changzhou University, Changzhou, China

3. Department of Neuroscience, The Third Affiliated Hospital of Soochow University, Changzhou, China

Publisher

Bentham Science Publishers Ltd.

Subject

Computational Mathematics,Genetics,Molecular Biology,Biochemistry

Cited by 4 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. Developing System-Based Artificial Intelligence Models for Detecting the Attention Deficit Hyperactivity Disorder;Mathematics;2023-11-20

2. Machine learning models effectively distinguish attention-deficit/hyperactivity disorder using event-related potentials;Cognitive Neurodynamics;2022-02-15

3. Brain Function Network Analysis of Children with Attention-Deficit/Hyperactivity Disorder Based on Adaptive Sparse Representation Method;Journal of Medical Imaging and Health Informatics;2019-10-01

4. Diagnosis of Human Psychological Disorders using Supervised Learning and Nature-Inspired Computing Techniques: A Meta-Analysis;Journal of Medical Systems;2019-05-28

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