Intellectual Property India Publishes Patent Application for 'System For Predicting Heart Disease Using Explainable Machine Learning' Filed by Lovely Professional University

MUMBAI, India, Dec. 13 -- Intellectual Property India has published a patent application (202511102430 A) filed by Lovely Professional University, Phagwara, Punjab, on Oct. 24, for 'system for predicting heart disease using explainable machine learning.'

Inventor(s) include Dr. Gaurav Sethi; Dr. Sunaina Ahuja; Rishi Chopra; and Dr. Megha Mehta.

The application for the patent was published on Dec. 12, under issue no. 50/2025.

According to the abstract released by the Intellectual Property India: "A system for predicting heart disease using explainable machine learning includes a data input module 101 for receiving and pre-processing patient data from a linked database, a machine learning module 103 applying Logistic Regression to generate a high-performance predictive model, an explainability module103 integrating SHAP and LIME for interpretable explanations with visuals, and an output module 104delivering results to practitioners with EHR integration, a wirelessly linked user interface enables custom inputs and real-time feedback, enhancing early detection and treatment."

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