Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Trusted explainable AI based implementation for detection of neurodegenerative disorders (ND) Subject The topic of the resource Artificial intelligence (AI); Explainable AI (XAI); Neurodegenerative disorders (ND); Shapely additive explanations; Trust Description An account of the resource 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. Creator An entity primarily responsible for making the resource Sharma V.; Midhunchakkaravarthy D. Source A related resource from which the described resource is derived International Journal of Information Technology (Singapore) Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s41870-024-02254-6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s41870-024-02254-6</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212154627&amp;doi=10.1007%2Fs41870-024-02254-6&amp;partnerID=40&amp;md5=5ed5a0616172b57ca114e6be7bec7e56" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212154627&amp;doi=10.1007%2fs41870-024-02254-6&amp;partnerID=40&amp;md5=5ed5a0616172b57ca114e6be7bec7e56</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 25112104 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant 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