MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202641088067 A) filed by Namratha H T, Pes College Of Engineering; Goli Archana, Teegala Krishna Reddy Engineering College; Dr. Rafath Samrin, King Khalid University; and Dr. D Chitra, Panimalar Engineering College on July 19, 2026, for A System And Method For Explainable Diabetes Prediction And Clinical Decision Support Using Hybrid Deep Learning And Multi-Source Healthcare Data Analytics.
Inventors include Namratha H T, Pes College Of Engineering; Goli Archana, Teegala Krishna Reddy Engineering College; Dr. Rafath Samrin, King Khalid University; and Dr. D Chitra, Panimalar Engineering College.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: The present invention discloses a system and method for explainable diabetes prediction and clinical decision support using hybrid deep learning and multi-source healthcare data analytics. The system integrates heterogeneous healthcare information including electronic health records, laboratory reports, wearable sensor data, demographic information, lifestyle attributes, and clinical histories. A hybrid deep learning architecture comprising convolutional neural networks, bidirectional long short-term memory networks, attention mechanisms, and fully connected neural networks performs accurate diabetes prediction. Explainable Artificial Intelligence techniques including SHAP, LIME, integrated gradients, and attention visualization provide transparent interpretation of prediction results. A clinical decision support module generates personalized risk assessment, treatment recommendations, preventive strategies, and physician-assisted reports. Continuous learning mechanisms improve predictive performance using newly acquired healthcare data. The invention enhances diagnostic accuracy, model interpretability, clinical trust, personalized healthcare delivery, and early diabetes detection while supporting intelligent decision-making across modern healthcare environments.
Disclaimer: Curated by HT Syndication.
