Expecting the Unexpected: Predicting Panic Attacks from Mood, Twitter, and Apple Watch Data

Expecting the Unexpected: Predicting Panic Attacks from Mood, Twitter, and Apple Watch Data 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)

Abstract:

Objective: Panic attacks are an impairing mental health problem that affects 11% of adults every year. Current criteria describe them as occurring without warning, despite evidence suggesting individuals can often identify attack triggers. We aimed to prospectively explore qualitative and quantitative factors associated with the onset of panic attacks. Results: Of 87 …

View on IEEE Xplore