MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541134545 A) filed by Prof. A Sureshbabu; and Mr. Y Harinath, Anantapur, Andhra Pradesh, on Dec. 31, 2025, for 'an intelligent medical data mining framework for disease prediction using redundancy-aware feature selection.'
Inventor(s) include Prof. A Sureshbabu; and Mr. Y Harinath.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The current invention introduces an intelligent medical data mining system for disease prediction which combines redundancy-aware feature selection with computational intelligence and adaptive ensemble learning methods. The system processes different medical data types through clinical data preprocessing and feature importance assessment and redundancy-aware feature handling of correlated and duplicate information. The selection of optimal features through computational intelligence-based optimization methods results in better prediction accuracy and reduced computational requirements. The system uses an adaptive ensemble learning approach to assess classifier performance in real time while combining multiple model outputs for disease prediction results and confidence scores. The framework enables continuous learning through feedback-based updates. These allow the system to adjust to changing medical information and disease patterns. The system provides advantages to various stakeholders through its ability to deliver precise disease forecasts with confidence levels which help medical professionals make better decisions and healthcare facilities optimize their diagnostic procedures and resource management, and patients receive early disease detection for prompt treatment, and medical data repositories obtain organized knowledge from past records. The system operates on a scalable framework which enables its deployment in different healthcare settings such as hospitals and diagnostic centres, and digital health platforms to improve healthcare service quality and reliability."
Disclaimer: Curated by HT Syndication.
