MUMBAI, India, June 16 -- Intellectual Property India has published a patent application (202611055464 A) filed by Greater Noida Institute Of Technology, Greater Noida, Uttar Pradesh, on April 30, for 'heart disease prediction using healthcare data.'
Inventor(s) include Dr. Ajay Kumar Gupta; Mr. Sandeep Kumar Singh; Shubham Chauhan; Sudhanshu Chauhan; Sumit Kumar; Shikhar Khare; Surbhi; Suryansh Singh; Shashank Kumar; and Varun Chauhan.
The application for the patent was published on June 5, under issue no. 23/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a system and method for predicting cardiovascular disease risk using multi-parametric healthcare data and machine learning techniques. The system acquires patient-specific data including demographic and clinical attributes, and preprocesses the data through cleaning, normalization, and handling of missing values to generate a standardized dataset. Relevant features are selected and transformed into structured feature vectors for analysis. A plurality of machine learning models are trained and evaluated using performance metrics including accuracy, precision, recall, F1-score, and ROC-AUC to identify an optimal predictive model. The system computes a probability score representing the likelihood of cardiovascular disease for a given patient input and generates a corresponding risk classification output. The invention enables early detection, improves prediction accuracy through multi-model evaluation, and supports deployment in real-time clinical decision-support systems, thereby enhancing diagnostic efficiency and patient care outcomes."
Disclaimer: Curated by HT Syndication.
