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 Faculty Publications Book Chapter Faculty Publications- Book Chapter 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/. Creator An entity primarily responsible for making the resource Kannan, M.; Sindhu, V.; Umamageshwari, D.; Keerthika, K. Title A name given to the resource Explainable AI and computational intelligence in healthcare: Application to clinical decision support and personalized medicine Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Mathematical Modeling and AI-Driven Computational Techniques for Epidemiology and Disease Dynamics;pp.245-271 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/B978-0-44-333234-0.00020-0" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/B978-0-44-333234-0.00020-0</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105033423078?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105033423078?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kannan M., Department of Computer Science, CHRIST University, Bangalore, India; Sindhu V., Department of Computer Science, CHRIST University, Bangalore, India; Umamageshwari D., Department of Computer Science, CHRIST University, Bangalore, India; Keerthika K., Department of Computer Science, School of Computing, Amrita Vishwa Vidyapeetham, Mysuru, India Description An account of the resource Human intelligence system simulation has made significant strides in several areas, including clinical decision-making using medical imaging and electronic health records, health referral systems, discovering recommended medications and vaccines, recognizing prescribed errors, and real-time data analysis. Therefore it is essential to discover patterns and transfer knowledge in the medical domain. The obstacles at the level of data collection, data analysis, model development, decision-making, and ethical concerns need to be addressed. It is vital that clinical interpretation tools associated with both hardware and software employed by medical professionals be precisely examined when rendering decisions regarding diagnoses and therapies related to the diagnosis. Computer scientists generally lack training in medical concepts specific to their field. Another crucial aspect is that black box algorithms based on artificial and computational intelligence are opaque and devoid of logical justification. Owing to these limitations, the technique of eXplainable Artificial Intelligence (XAI) models is explored in this chapter, primarily focusing on improving the interpretability of computational models. Specific objectives of this chapter are to: a) discuss the role that CI techniques and methods in the construction of an intelligent health prediction system; b) demonstrate the multiple CI paradigms utilized in medical prediction; and c) present recent case studies to showcase the performance of the computational intelligent models. 2026 Elsevier Inc. All rights reserved. Subject The topic of the resource Clinical decision-making; Computational intelligence; Electronic health records; Explainable artificial intelligence (XAI); Health prediction systems; interpretability; Medical data analysis Publisher An entity responsible for making the resource available Elsevier Relation A related resource ISBN: 978-044333234-0; 978-044333235-7; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online