Detection of Symptoms of Depression Using Data From the iPhone and Apple Watch-Reference-Cited by-同舟云学术

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Detection of Symptoms of Depression Using Data From the iPhone and Apple Watch

Published:2023-12-05 Issue: Volume: Page:1818-1823
ISSN:
Container-title:2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
language:
Short-container-title:

Author:

Akre Samir¹,Cohen Zachary D.²,Welborn Amelia²,Zbozinek Tomsilav D.²,Balliu Brunilda³,Flint Jonathan²,Bui Alex A. T.¹,Craske Michelle G.²

Affiliation:

1. University of California,Medical Informatics Home Area,Los Angeles,Los Angeles,USA

2. University of California,Department of Psychiatry and Biobehavioral Sciences,Los Angeles,Los Angeles,USA

3. University of California,Department of Computational Medicine,Los Angeles,Los Angeles,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385797.pdf?arnumber=10385797

Reference17 articles.

1. The 52 symptoms of major depression: Lack of content overlap among seven common depression scales

2. DSM-5 Field Trials in the United States and Canada, Part II: Test-Retest Reliability of Selected Categorical Diagnoses

3. Dissecting diagnostic heterogeneity in depression by integrating neuroimaging and genetics

4. Multiple dimensions of stress vs. genetic effects on depression

5. Personalized mood prediction from patterns of behavior collected with smartphones

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