Work is underway to create anxiety and depression prediction models using AI and Twitter that could help detect signs of these illnesses before clinical diagnosis. Researchers from Brazil have suggested the possibility of detecting the likelihood of a person developing depression based on their social media interactions and following patterns. The machine-learning algorithm analyzed sequences of words and complete sentences and observed that people with depression tended to write in first-person POV about subjects connected to themselves as well as topics such as death, crisis and psychology. More studies will likely be undertaken to unlock this potentially predictive connection.
