Trusted explainable AI based implementation for detection of neurodegenerative disorders (ND)

Title

Trusted explainable AI based implementation for detection of neurodegenerative disorders (ND)

Creator

Sharma V.; Midhunchakkaravarthy D.

Description

The potential of explainable artificial intelligence (XAI) in detection of neurodegenerative disorders (ND) holds great promise in the field of healthcare. These diseases interfere with the daily functioning and independence of a person. The current studies lack in highlighting the aspect of explainability in their predictions and the various algorithms cannot provide any plausible explanations for their predictions making it difficult for medical professionals to place trust in their findings. Thus, the proposed framework aims to bridge this gap by exploring the development of a trustworthy framework for XAI-based ND detection, focusing on key aspects that can significantly impact its effectiveness and acceptance. The framework makes use of Trust-based SHAP (SHapley Additive exPlanations) values in classification. By computing trust values, the framework ensures more reliable predictions and increases interpretability, instilling confidence in clinicians and patients. The results show that with the inclusion of the trust-driven framework, the accuracy of the algorithm increased from 93.33% in the normal circumstances to 98.21%, highlighting the efficacy of the framework as compared to the other works. This shows that a trustworthy framework for XAI-driven ND detection can reshape care by enabling early detection, personalized treatment plans and enhancing decision-making process. Bharati Vidyapeeth's Institute of Computer Applications and Management 2024.

Source

International Journal of Information Technology (Singapore)

Date

2024-01-01

Publisher

Springer Science and Business Media B.V.

Subject

Artificial intelligence (AI); Explainable AI (XAI); Neurodegenerative disorders (ND); Shapely additive explanations; Trust

Coverage

Sharma V., Department of Computer Science and Multimedia, Lincoln University College, Petaling Jaya, Malaysia, Christ University, Bengaluru, India; Midhunchakkaravarthy D., Department of Computer Science and Multimedia, Lincoln University College, Petaling Jaya, Malaysia

Rights

Restricted Access

Relation

ISSN: 25112104

Format

Online

Language

English

Type

Article

Identifier

https://doi.org/10.1007/s41870-024-02254-6

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212154627&doi=10.1007%2fs41870-024-02254-6&partnerID=40&md5=5ed5a0616172b57ca114e6be7bec7e56