MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202611049490 A) filed by Swami Rama Himalayan University, Dehradun, Uttarakhand, on April 17, for 'a machine learning based system for early detection of depression risk using dynamic factor mapping.'
Inventor(s) include Princy Tyagi; Bhuvanshu; Divyanshu; Mayank Manwal; and Aryan Rathaur.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a computer-implemented system and method for early identification of depression risk among college students using multi-factor data analysis and artificial intelligence. The system includes a data collection module configured to gather academic performance, attendance patterns, behavioural changes, lifestyle indicators, stress-related indicators, and social interaction metrics. A preprocessing module performs cleaning, normalization, temporal alignment, and privacy filtering. A feature integration module combines processed data into a unified representation. An artificial intelligence-based analysis engine identifies patterns, relationships, and temporal deviations. A factor mapping module determines relative influence of contributing factors and highlights dominant factors. A risk assessment module computes a composite risk score and classifies risk into predefined categories. An output interface presents interpretable results for decision support. The system enables continuous monitoring and early warning while functioning as a non-diagnostic tool. The approach improves multi-factor data processing efficiency and supports scalable deployment across diverse institutional environments."
Disclaimer: Curated by HT Syndication.
