MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641042180 A) filed by Ms. Geetha S K; Mr. Sai Saran T S; and Mr. Sree Senbakaraman, Coimbatore, Tamil Nadu, on April 2, for 'early detection of chronical diseases using machine learning algorithm.'
Inventor(s) include Ms. Geetha S K; Mr. Sai Saran T S; and Mr. Sree Senbakaraman.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "Early detection of chronical diseases using machine learning algorithm Abstract: The present invention relates to a chronic diseases such as diabetes, cardiovascular disease, and chronic kidney disease remain leading causes of mortality worldwide, necessitating early detection for effective prevention and treatment. This invention presents a scalable and interpretable machine learning-based clinical decision support system for early disease risk prediction. The system integrates multimodal healthcare data, including electronic health records, laboratory results, demographic information, and wearable device data. It employs an ensemble of Logistic Regression, Random Forest, and neural network models to enhance prediction accuracy and robustness. An agent-based architecture comprising Data, Prediction, and Decision Agents enables efficient data processing, risk assessment, and clinical recommendation generation. Additionally, SHAP-based interpretability ensures transparency by aligning model outputs with established clinical risk factors. Experimental evaluation on benchmark datasets demonstrates high predictive performance across multiple chronic diseases."
Disclaimer: Curated by HT Syndication.
