MUMBAI, India, Nov. 28 -- Intellectual Property India has published a patent application (202531106151 A) filed by Abhilash Borah; Ankita Nag; Dr Jonti Deuri; and Sagar Saikia, Jakhalabandha, Assam, on Nov. 3, for 'system and method for computer aided prediction of cardiovascular disease using a hybrid machine learning architecture.'
Inventor(s) include Ankita Nag; Dr Sinmoy Goswami; Dr Karabi Goswami; Dr Jonti Deuri; Sagar Saikia; Dr Suman Agarwal; and Dr Azizur Rahman.
The application for the patent was published on Nov. 28, under issue no. 48/2025.
According to the abstract released by the Intellectual Property India: "The present invention relates to a comprehensive system and method for predicting heart disease by integrating advanced data preprocessing, feature selection, and hybrid artificial intelligence (AI) modeling. The system utilizes diverse patient data, including clinical parameters, electrocardiogram (ECG) readings, demographic information, and real-time physiological signals from wearable sensors. By combining linear models with deep learning architectures, the invention captures both linear and nonlinear relationships among risk factors, improving prediction accuracy and reliability over existing methods. Unlike conventional approaches, which often lack interpretability and real-time deployment capabilities, the system provides timely, interpretable alerts for early intervention. The invention further incorporates scalable processing pipelines, enabling its application across large and heterogeneous patient populations. The unified framework ensures integration with electronic health records, continuous monitoring devices, and clinical decision support systems, thereby facilitating proactive cardiovascular care, reducing healthcare burden, and enhancing patient outcomes."
Disclaimer: Curated by HT Syndication.
