MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202611079441 A) filed by Ajay Kumar Garg Engineering College on June 27, 2026, for Ai-Based System For Predictive Heart Disease Detection Using Clinical Data And Working Method Thereof.
Inventors include Akshita Sankhwar; Aman Bhati; Aman Srivastav; Rachit Kumar Singh; and Dr. Saroj Kushwah.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: The present invention discloses an AI-based system for predictive heart disease detection using clinical data and working method thereof. The system comprises a Clinical Data Acquisition Interface (100) configured to receive structured clinical parameters and unstructured medical reports, an Intelligent Data Pre-Processing Engine (200) for data cleansing, normalization, encoding, and imputation, and a Natural Language Processing and Feature Extraction Module (300) configured to extract clinical entities and generate structured feature vectors from medical documents. An Adaptive Feature Integration Bus (600) integrates structured and NLP- derived features into a unified dataset processed by a Multi-Model Predictive Analytics Engine (400) employing Logistic Regression (410), Random Forest (420), and K-Nearest Neighbours (430) algorithms. A Real-Time Prediction Output Module (700) generates cardiovascular risk scores, while an Explainable Visualization and Decision Support Layer (500) provides interpretable analytical outputs through a Web-Based Interactive User Interface (800). Accompanied Drawings [Fig. 1-4]
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