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 Santhrupth, B.C.; Bhoomika, G.R.; Jeevaraj, R.; Banakar, Shivaraj Veerappa; Shreyas, L.; Rakesh, V.S. Title A name given to the resource FedDiff-Health: A Privacy-Preserving Generative Framework for Collaborative Hospital Readmission Prediction 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 4th International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2025;pp.1539-1544 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICAAIC64647.2025.11330746" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAAIC64647.2025.11330746</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105034888153?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105034888153?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 Santhrupth B.C., Christ University, Department of AI, Ml&amp;ds, Karnataka, Bangalore, India; Bhoomika G.R., Christ University, Department of Cse, Karnataka, Bangalore, India; Jeevaraj R., Global Academy of Technology, Department of Ise, Karnataka, Bangalore, India; Banakar S.V., Global Academy of Technology, Department of Ise, Karnataka, Bangalore, India; Shreyas L., Global Academy of Technology, Department of Ise, Karnataka, Bangalore, India; Rakesh V.S., Cambridge Institute of Technology, Department of Cse, Karnataka, Bangalore, India Description An account of the resource Hospital readmission prediction encounters three challenges: data siloing across hospitals due to format incompatibilities, stringent privacy constraints, and the rarity of readmission events. We propose P-Fed-Diffusion, the first framework that enables collaboration across hospitals while keeping patients' data private. Our method automatically aligns heterogeneous data schemas without human intervention, using large language models. Then, we apply conditional diffusion models within a federated learning framework to generate synthetic data for rare readmission events. The framework incorporates formal privacy guarantees via differential privacy. We achieve a dramatic improvement over state-of-the-art methods: while the best prior method achieves 2% recall, we achieve 64% recall-32x improvement, meaning that the method finds over 1,000 additional high-risk patients per hospital annually. Our work opens up a new direction for privacy-preserving collaborative AI across hospitals. 2025 IEEE. Subject The topic of the resource Differential Privacy; Electronic Health Records; Federated Learning; Hospital Readmission Prediction; Schema Harmonization Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833156587-9; 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