MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641069057 A) filed by Nandha Engineering College on June 02, 2026, for A Lightweight Ensemble Based Framework For Stable And Interpretable Heart Disease Prediction Using Clinical Data.
Inventors include Mr A S Anbuselvan; and Ms K Subhashini.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: The present invention discloses an Al-based lightweight ensemble heart disease prediction system designed to improve early diagnosis and clinical decision-making. The system integrates data collectioo. preprocessing. feature engineering. model training. ensemble learning. and explainable AI techniques into a unified fl·amework. Machine learning models such as Logistic Regression. Decision Tree, and Random Forest are utilized and combined using a soft voting mechanism to enhance prediction accuracy and stability. The system continuously processes structured clinical data including age. cholesterol level. blood pressure. ECG results. and other health parameters. and applies intelligent analysis techniques to predict the likelihood of heart disease. Advanced preprocessing methods arc employed to handle missing values. normalize data. and select relevant features for improved model performance. Explainable AI techniques such as SH AP and fi::ature importance analysis are incorporated to provide transparency and interpretability of predicti•m results. The system supports automated prediction. assists healthcare professionals in identifying key ri:;k factors. and enables early detection of heart disease. Overall. the invention improves diagnostic accuracy. reduces manual effort. and enhances patient outcomes in healthcarc environments.
Disclaimer: Curated by HT Syndication.
