INFORMATION SYSTEM FOR MONITORING THE PSYCHOLOGICAL STATE OF MILITARY SOLDIERS WITH POST-TRAUMATIC STRESS DISORDER USING AI

Abstract

The article presents the development and implementation of an innovative information system (IS) designed to monitor the psychological state of military personnel suffering from post-traumatic stress disorder (PTSD). This system is deployed on the iOS platform and leverages cutting-edge artificial intelligence technologies, specifically large language models (LLMs) such as GPT-4. These models are integrated via CoreML to analyze and interpret the textual responses provided by users during psychological assessments. Additionally, the system utilizes Apple's HealthKit framework to continuously collect and analyze physiological data, including heart rate, sleep patterns, and activity levels, which are critical for evaluating stress responses and overall mental health.

A comprehensive architectural scheme of the IS has been developed, illustrating the integration of AI components and data acquisition modules. The system is supported by a robust mathematical model that enables dynamic and accurate assessment of the psychological state of soldiers. This model uniquely combines AI-driven analysis of user input with real-time physiological monitoring, thus enhancing both the accuracy and responsiveness of PTSD detection. Compared to existing methods, the proposed approach offers improved adaptability to the specific needs of military users, providing personalized insights and facilitating early intervention.

The key scientific contribution of this research lies in the development of the mathematical model that underpins the IS. This model significantly advances current practices by allowing for the adaptive and efficient identification of PTSD symptoms, increasing diagnostic precision, and supporting real-time mental health monitoring in high-risk populations such as military personnel.