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 Faculty Publications- Book 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 Vijayalakshmi, S.; Joseph, Alwin; Eapen, Naived George; Balusamy, Balamurugan; Dhatterwal, Jagjit Singh; Kaswan, Kuldeep Singh Title A name given to the resource Smart Systems for Disease Prediction: Advancements, Applications and Challenges Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Smart Systems for Disease Prediction: Advancements, Applications and Challenges;pp.1-216 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781032722344" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781032722344</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105025827506?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105025827506?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 Vijayalakshmi S., School of Sciences, Christ University, India; Joseph A., CHRIST University, India; Eapen N.G., CHRIST University, India; Balusamy B., Shiv Nadar Institution of Eminence, Delhi, India; Dhatterwal J.S., Department of School of Computer Science and Artificial Intelligence, SR University, Warangal, Telangana, India; Kaswan K.S., Galgotias University, Uttar Pradesh, India Description An account of the resource Smart Systems for Disease Prediction: Advancements, Applications and Challenges is a comprehensive book that explores the use of intelligent technologies to predict diseases accurately and efficiently. It covers a wide range of topics, including image and signal processing, behavioural analysis, and the integration of multimodal data in healthcare. The book examines the application of artificial intelligence, machine learning, and data analytics in creating predictive models for diseases. It also addresses the challenges, ethical considerations, and future directions in the field. This work emphasises the significant impact of intelligent systems on enabling early diagnosis, personalised medicine, and improving patient outcomes. 2026 S. Vijayalakshmi, Alwin Joseph, Naived George Eapen, Balamurugan Balusamy, Jagjit Singh Dhatterwal, and Kuldeep Singh Kaswan. Publisher An entity responsible for making the resource available CRC Press Relation A related resource ISBN: 978-104051025-4; 978-103269956-1; Language A language of the resource English Type The nature or genre of the resource Book 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