MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202421051501 A) filed by Nishant Wanjari; Ved Patel; Gunjankumar Choudhari; Nida Kadiwala; Dr. Gajanan Birajdar; Dr. Vishwesh Vyawahare; and Ramrao Adik Institute Of Technology on July 05, 2024, for A System And Method To Predict And Manage Diseases Using Machine Learning Approach.
Inventors include Nishant Wanjari; Ved Patel; Gunjankumar Choudhari; Nida Kadiwala; Dr. Gajanan Birajdar; and Dr. Vishwesh Vyawahare.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: The present invention presents a revolutionary healthcare application that predicts diseases with higher accuracy from user-inputted symptoms using the hardware system by incorporating machine learning modules. The system addresses the challenges of accurately predicting diseases based on user-inputted symptoms using a Support Vector Machine and provides customized health management plans, including food plans, prescribed medication, dietary advice, and exercise routines. The present invention has the capacity to handle non-linear data in multi-dimensional domains that analyse symptoms and predict possible illnesses for better management. Following diagnosis, the system creates customized food plans, exercise regimens, and prescription medications based on the particular health issue found. The application's versatility and utility in clinical settings and patient self-management have been enhanced by its development utilizing many datasets, which ensured its applicability across different disease stages. By supporting multiple languages, and by utilizing diverse datasets in both clinical settings and patients’ self-management enhances the invention’s versatility and makes healthcare accessible to people worldwide and hence provides a comprehensive solution to not only diagnose potential illnesses but to manage them effectively.
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