MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202641084378 A) filed by M. Madhuri; and Dr. A. Suresh Babu on July 09, 2026, for A System And Method For Early Cardiac Failure Detection Using Hybrid Machine Learning With Enhanced Brownian Motion-Based Dragonfly Optimization And Multi-Layer Perceptron.
Inventors include M. Madhuri; and Dr. A. Suresh Babu.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The present invention discloses a system and method for early cardiac failure detection using a hybrid machine learning framework integrating Enhanced Brownian Motion-Based Dragonfly Optimization with a Multi-Layer Perceptron classifier. The proposed framework acquires patient clinical data, performs preprocessing and normalization, selects optimal clinical features through Brownian motion-enhanced swarm intelligence optimization, and trains an optimized neural network for cardiac risk prediction. The optimization algorithm improves feature relevance, neural network parameter tuning, convergence speed, and prediction reliability. The trained Multi-Layer Perceptron accurately classifies patients into normal or cardiac failure categories while minimizing computational complexity. The invention provides improved diagnostic accuracy, sensitivity, specificity, and robustness, making it suitable for clinical decision support systems, hospital information systems, telemedicine platforms, and intelligent healthcare applications.
Disclaimer: Curated by HT Syndication.
