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 Conference Paper Faculty Publications- Conference Papers 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 Kale, Vaishnaw Gorakhnath; Kshirsagar, Pravin Ramdas; Unhelkar, Bhuvan; Chakrabarti, Prasun; Upreti, Kamal; Jain, Rituraj Title A name given to the resource A Comprehensive Review of Advanced Analytics for Predicting HRQoL in Cancer Survivors Using a Synergistic Approach 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 2025 International Conference on Intelligent Control, Computing and Communications, IC3 2025;pp.1345-1350 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/IC363308.2025.10956265" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IC363308.2025.10956265</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105003904296?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105003904296?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 Kale V.G., School of Computer Science Engineering and Applications, D. Y. Patil International University, MS, Pune, India; Kshirsagar P.R., J.D College of Engg &amp; Mgmt., Department of Electronics Engineering, MS, Nagpur, India; Unhelkar B., Muma College of Business, University of South Florida, (Sarasota-Manatee Campus), United States; Chakrabarti P., Sir Padampat Singhania University, Department of Computer Science &amp; Engineering, Rajasthan, Udaipur, India; Upreti K., Christ University, Department of Computer Science, Delhi NCR, Ghaziabad, India; Jain R., Marwadi University, Department of Information Technology, Gujarat, Rajkot, India Description An account of the resource This systematic review explores the role applied and emerging methods including AI, Explainable AI and Quantum machine learning techniques in the prediction of Health-Related Quality of Life (HRQoL) of cancer survivors. It also gives possible benefits and limitation of using the advanced analytics to predict the HRQoL. In all, 141 research papers implemented in the last fifteen years with focus between the years 2008 to 2023 are analyzed. For the convenience, this literature review is divided into four primary categories - (i) Artificial intelligence, (ii) Explainable artificial intelligence, (iii) Quantum machine learning, and (iv) Synergistic integration. The third way the present systematic review paper differs from other papers in the domain is that the paper offers a direction of future research. Furthermore, the hypothetical illustration is provided in order to compare outcomes of the synergistic approach with the existing data. Consequently, this analysis provides beneficial insights for further research and development of the synergistic approach in both research and clinical practice. The assessment shows that there is a continued need for research focusing on improving the quality of life of those that survived cancer. 2025 IEEE. Subject The topic of the resource Artificial Intelligence; Cancer Survivorship; Explainable AI; Quantum Machine Learning Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833152749-5; Language A language of the resource English Type The nature or genre of the resource Conference paper 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