Early mental health crisis intervention using user-generated and biometric data, with artificial intelligence techniques
Design a system that monitors mental health over time, to provide recommendation for when early intervention is required (before crisis state is reached). The system may use external data, user-generated data (e.g. self-reported mood states), biometric data, and mobile phone data. The system will use an appropriate prediction technique to predict potential crisis states ahead of time. There is an opportunity to use existing verified datasets of mood prediction data to build a generalised model of mood reactions and personalise it to each participant based on their individual data. The systems may predict crisis state for multiple conditions.