An Explainable AI model in the assessment of Multiple Sclerosis using clinical data and Brain MRI lesion texture features <sup>*</sup>-Reference-Cited by-同舟云学术

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An Explainable AI model in the assessment of Multiple Sclerosis using clinical data and Brain MRI lesion texture features ^*

Published:2023-10-15 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)
language:
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Author:

Nicolaou A.¹,Pantzaris M.²,Loizou C. P.³,Kakas A.¹,Pattichis C. S.¹

Affiliation:

1. University of Cyprus,Department of Computer Science,Nicosia,Cyprus

2. Cyprus Institute of Neurology and Genetics,Nicosia,Cyprus

3. Computer Engineering and Informatics, Cyprus University of Technology,Department of Electrical Engineering,Limassol,Cyprus

Funder

University of Cyprus

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10313339/10313352/10313379.pdf?arnumber=10313379

Reference15 articles.

1. GORGIAS: Applying argumentation

2. TE2Rules: Extracting rule lists from tree ensembles;lal,2022

3. Rule Extraction in the Assessment of Brain MRI Lesions in Multiple Sclerosis: Preliminary Findings

4. Gorgias Cloud: On-line Explainable Argumentation

5. SMOTE: Synthetic Minority Over-sampling Technique

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