MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641090745 A) filed by Bgs College Of Engineering And Technology Bgscet on July 25, 2026, for A Machine Learning-Based Multiple Disease Prediction System And Method.
Inventors include Ravikumar Guralamata Krishnegowda; Govindaiah Thimma Raju; Madhu Patil; Jayanth Krishnamurthy; Mohammad Roshan Pasha; Prajwal Karada Nagendra; and Rashmitha Srinivas Murthy.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: The present disclosure relates to a computer-implemented system and method for predicting one or more diseases using disease-specific machine learning prediction models. The system comprises one or more healthcare data sources (102) configured to provide healthcare information to a multiple disease prediction system (108) including a data acquisition module (108a), a data preprocessing module (108b), a machine learning models module (108c), a prediction and analytics module (108d), and a user interface module (108e). The healthcare information is acquired, consolidated, validated, cleaned, normalized, encoded, and feature-selected to generate a processed feature dataset for selective execution of a disease-specific machine learning prediction model. Disease prediction outputs are analytically evaluated and presented as a disease prediction report through the user interface module (108e). The disclosed architecture facilitates standardized processing of heterogeneous healthcare information, modular management of disease-specific prediction models, scalability through incorporation of additional prediction models, and integrated clinical decision support.
Disclaimer: Curated by HT Syndication.
