Mental Health and Machine Learning: Predicting Stress Levels Through Daily Interactions
Stress is quite common and something many of us face daily. From busy work schedules to personal obligations, we’re under constant pressure. That can take its toll on our physical and mental health.[1]
But what if there’s a way to predict when stress might hit you, and you can deal with it before it becomes a big problem? That’s where machine learning comes in.
Machine learning, a branch of artificial intelligence, is shaking things up in many fields and industries, including healthcare. And within it, it’s especially good in predicting stress levels.[2]
By looking at our daily actions on social media or data from wearables and smartphones, machine learning can connect the dots with known signs of stress and give us valuable insights into our mental health.
Mental health disorders, including anxiety, depression, bipolar disorder, schizophrenia, and ADHD, make significant changes in people’s thinking, emotions, and/or behavior.[3]
