AI Faculty Publishes Research Article on Transformer-Based Heart Disease Risk Prediction
Mr. K. Krishna, Assistant Professor in the Department of Artificial Intelligence, has successfully published the research article “Transformer-Based Multi-Model Framework for Dual-Task Prediction of Heart Disease Risk with Clinical Interpretability and Computational Efficiency.” The study focuses on applying transformer-based and multi-model approaches to heart disease risk prediction while addressing clinical interpretability and computational efficiency.
The research has been published in the Journal of Theoretical and Applied Information Technology (JATIT), with ISSN 1992-8645. The work brings together Artificial Intelligence, Machine Learning, Healthcare Analytics, and predictive modelling to explore computationally efficient approaches for healthcare applications.
This publication reflects Mr. Krishna’s continued commitment to research and contributes to the growing body of work at the intersection of Artificial Intelligence and healthcare. The achievement highlights the Department of Artificial Intelligence’s focus on research that connects emerging AI methods with practical and socially relevant applications.
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By AU Media Team
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