MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641061182 A) filed by Salem College Of Engineering And Technology on May 14, 2026, for Intelligent Disease Prediction System Using Machine Learning And Big Data.
Inventors include I. Divya Dharshini; Hariprasath R; Jagesh Rajoo S; Kumaran M; Madhivanan N; Pooja M; and Prakash P.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: An intelligent disease prediction system using machine learning and big data supports early diagnosis and preventive healthcare. The system collects large volumes of medical and patient-related data. Data sources may include symptoms, medical history, and laboratory reports. Big data techniques are used for efficient data storage and processing. Machine learning algorithms analyze patterns within the dataset. The system identifies correlations between symptoms and diseases. Predictive models estimate the probability of specific health conditions. Early risk detection enables timely medical intervention. The system provides decision support for healthcare professionals. Real-time analysis improves diagnostic accuracy. Data visualization presents results in an understandable format. Secure handling ensures privacy of sensitive medical information. Continuous learning improves prediction performance over time. The solution reduces healthcare costs through preventive measures. This intelligent prediction system, enhances disease detection and supports smarter healthcare management.
Disclaimer: Curated by HT Syndication.
