MUMBAI, India, June 24 -- Intellectual Property India has published a patent application (202441097345 A) filed by Keerthi C; Sanjay R; Balamurugan M; and Tamilselvan S on December 10, 2024, for Smart Healthcare Diagnosis Through An Iomt-Enabled Incremental Learning And Feature Selection Framew.
Inventors include Keerthi C; Sanjay R; Balamurugan M; and Tamilselvan S.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: The present invention ·introduces a smart healthcani diagnosis framework that leverages Internet of Medical Things (loMT) technology, incremental learning, and advanced feature selection to enhance the accuracy and efficiency of medical diagnostics. The system collects real-time patient health data from various IoMT devices and processes it through a hybrid CNN-LSTM model to extract spatial and temporal features. This approach allows for. continuous learning, enabling the model to adapt as new data becomes available, ensuring up-to-date and accurate · diagnostic predictions. Advanced feature selection techniques optimize data input, reducing. noise and improving computational efficiency. The system provides real-time insights, alerts, and a user-friendly interface for health care professionals, supporting informed decision-making and proactive patient care. With robust data security measures, the invention ensures patient data confidentiality and compliance with privacy regulations. The framework's scalability and adaptability make it suitable for diverse healthcare environments, contributing to improved patient outcomes and efficient healthcare management.
Disclaimer: Curated by HT Syndication.
