Automated detection of panic disorder based on multimodal physiological signals using machine learning-Reference-Cited by-同舟云学术

Automated detection of panic disorder based on multimodal physiological signals using machine learning

Author:

Jang Eun Hye¹^ORCID,Choi Kwan Woo²,Kim Ah Young¹,Yu Han Young³,Jeon Hong Jin⁴,Byun Sangwon⁵^ORCID

Affiliation:

1. Welfare and Medical ICT Research Department Electronics and Telecommunications Research Institute Daejeon Republic of Korea

2. Department of Psychiatry Korea University Seoul Republic of Korea

3. Industry and IoT Intelligence Research Department Electronics and Telecommunications Research Institute Daejeon Republic of Korea

4. Department of Psychiatry in the Samsung Medical Center Sungkyunkwan University School of Medicine Seoul Republic of Korea

5. Department of Electronics Engineering Incheon National University Incheon Republic of Korea

Funder

Electronics and Telecommunications Research Institute

Institute for Information and Communications Technology Promotion

National Research Foundation of Korea

Publisher

Wiley

Subject

Electrical and Electronic Engineering,General Computer Science,Electronic, Optical and Magnetic Materials

Link

Reference77 articles.

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2. Prediction of Anxiety Disorders using Machine Learning Techniques;2022 IEEE Bombay Section Signature Conference (IBSSC);2022-12-08