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

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...

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Bibliographic Details
Main Authors: Ellen W. McGinnis, Bryn Loftness, Shania Lunna, Isabel Berman, Skylar Bagdon, Genevieve Lewis, Michael Arnold, Christopher M. Danforth, Peter S. Dodds, Matthew Price, William E. Copeland, Ryan S. McGinnis
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of Engineering in Medicine and Biology
Subjects:
Panic attacks
wearables
apple watch
mental health
twitter
Online Access:https://ieeexplore.ieee.org/document/10399901/
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