Diagnosis of borderline personality disorder based on Cyberball social exclusion task and resting-state fMRI: using machine learning approach as an auxiliary tool-Reference-Cited by-同舟云学术

Diagnosis of borderline personality disorder based on Cyberball social exclusion task and resting-state fMRI: using machine learning approach as an auxiliary tool

Published:2022-12-25 Issue: Volume: Page:1-11
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Jafari Samira¹,Almasi Afshin²,Sharini Hamid³,Heydari Sajad⁴,Salari Nader⁵⁶

Affiliation:

1. Student Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran

2. Clinical Research Development Center, Imam Khomeini and Mohammad Kermanshahi and Farabi Hospitals, Kermanshah University of Medical Sciences, Kermanshah, Iran

3. Department of Biomedical Engineering, Faculty of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran

4. Industrial and systems engineering faculty, Tarbiat Modares University, Tehran, Iran

5. Department of Biostatistics, School of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran

6. Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2022.2161415

Reference33 articles.

1. The Higher-Order of Adaptive Lasso and Elastic Net Methods for Classification on High Dimensional Data

2. Differentiation of bipolar disorder versus borderline personality disorder: A machine learning approach

3. How reliable are the results from functional magnetic resonance imaging?

4. Systematic review with meta-analysis of the accuracy of diagnostic tests for COVID-19

5. DPARSF: a MATLAB toolbox for “pipeline” data analysis of resting-state fMRI