MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202611079521 A) filed by Ajay Kumar Garg Engineering College on June 28, 2026, for A Computer-Implemented System For Heart Disease Prediction Using Stacked Ensemble Learning And Working Method Thereof.
Inventors include Dr. Rahul Sharma; Ms. Priti Chaudhary; Prateek Singh; Rahul Gupta; Radhey Mohan Singh; and Vivek Kumar Gupta.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: The present invention discloses a computer-implemented system for heart disease prediction using a stacked ensemble learning framework integrated with a CNN- LSTM meta-learner. The system comprises a Data Input Module (101) configured to receive clinical parameters, a Preprocessing Engine (102) for data normalization, a Feature Engineering Module (103) for generating structured features and pseudo-signal windows, and a Base Classifier Layer (104) executing multiple classifiers in parallel. A Meta-Learning Module (105), including a CNN Processing Unit (105A) and an LSTM Processing Unit (105B), processes aggregated outputs through a Feature Fusion Engine (106) and a Decision Engine (107) to generate a risk prediction. The system further includes an Interpretability Module (108), API Server (109), User Interface Module (110), Memory Unit (111), Processing Unit (112), and Network Interface (113). The invention provides improved predictive accuracy, reduced false negatives, and real-time deployment capability through integrated hardware-software implementation. Accompanied Drawings [Fig. 1-6]
Disclaimer: Curated by HT Syndication.
