MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641091263 A) filed by Amrita Vishwa Vidyapeetham on July 27, 2026, for A Method And System For Predicting A Likelihood Of Post-Treatment Relapse Of A Mental Health Disorder.
Inventors include Akshay S; Kamagere Somashekar, Tejaswini; and Kamagere Somashekar, Yashaswini.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: The present invention discloses a method and system for predicting a likelihood of post-treatment relapse of a mental health disorder. Patient information comprising clinical data, behavioral data, treatment-related data, and demographic data associated with a patient is received and preprocessed to generate processed patient information. A plurality of relapse-predictive indicators representative of physiological condition, treatment effectiveness, treatment adherence, symptom progression, psychosocial support, and psychological resilience of the patient are generated from the processed patient information. A predictive feature representation comprising the processed patient information and the plurality of relapse-predictive indicators is generated. The predictive feature representation is processed using a trained prediction model to generate a relapse prediction indicative of a likelihood of recurrence of the mental health disorder following completion of treatment. The relapse prediction is outputted for facilitating post-treatment monitoring of the patient. Figure 1 is the representative figure.
Disclaimer: Curated by HT Syndication.
