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This paper is in the following e-collection/theme issue:

New Methods (1205) Wearable Devices and Sensors (1255) Panic Disorder (22) Machine Learning (2319) Cardiac Diagnostics (37)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69045, first published .
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Panic Attack Prediction for Patients With Panic Disorder via Machine Learning and Wearable Electrocardiography Monitoring: Model Development and Validation Study

Panic Attack Prediction for Patients With Panic Disorder via Machine Learning and Wearable Electrocardiography Monitoring: Model Development and Validation Study

Authors of this article:

Hayoung Oh1 Author Orcid Image ;   Hunmin Do2 Author Orcid Image ;   Chaehyun Maeng3 Author Orcid Image ;   Jinsuk Park4 Author Orcid Image ;   Taejun Yoon5 Author Orcid Image ;   Jihwan Kim6 Author Orcid Image ;   Hyeran Hwang7 Author Orcid Image ;   Seoin Choi6 Author Orcid Image ;   Piao Huilin6 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Wu J, Chen B, Chan K, Liang M, Lyu Y, Yu P, Feng T, Xie F, Yu S, Zhang F, Yip T, Kang W. Harnessing artificial intelligence for pediatric health: Current trends and future opportunities. iScience 2026;29(6):115962 View
  2. Rabkin S. Artificial Intelligence in the Assessment of Heart Rate Variability as an Instrument to Understand the Connection Between Psychologic and Psychiatric Conditions and the Heart. Bioengineering 2026;13(5):554 View