MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202611055903 A) filed by Ms. Deepti Deshmukh; Mr. Aryan Kumar Rathore; Mr. Astitva Tomar; and Mr. Anant Kumar Sharma on May 01, 2026, for Preliminary Medical Examination Using Svc & Random Forest.
Inventors include Ms. Deepti Deshmukh; Mr. Aryan Kumar Rathore; Mr. Astitva Tomar; and Mr. Anant Kumar Sharma.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: Early identification of diseases is essential for improving treatment outcomes and lowering healthcare expenses. This study presents an AI-enabled disease prediction system that merges Machine Learning (ML) and Deep Learning (DL) methods to detect two major health conditions: heart disease and skin disease. The application operates through a web interface, allowing users to enter clinical parameters for cardiac assessment and upload skin images for dermatological evaluation. FastAPI is used for backend processing, offering lightweight and efficient RESTful communication, while React.js powers the interactive frontend. The heart disease model applies a Random Forest Classifier, reaching an accuracy of nearly 88%, with a precision of 0.87 and recall of 0.86. The platform provides fast, easy-to-interpret predictions within seconds, emphasizing usability and scalability. Overall, this work demonstrates how AI-driven prediction models can be integrated with modern web technologies to enhance awareness and support early, preliminary health assessment.
Disclaimer: Curated by HT Syndication.
