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Development of Digital Biomarkers of Mental Illness via Mobile Apps for Personalized Treatment and Diagnosis.

作者信息

Chen I-Ming, Chen Yi-Ying, Liao Shih-Cheng, Lin Yu-Hsuan

机构信息

Department of Psychiatry, National Taiwan University Hospital, Taipei 100, Taiwan.

Department of Psychiatry, College of Medicine, National Taiwan University, Taipei 100, Taiwan.

出版信息

J Pers Med. 2022 Jun 6;12(6):936. doi: 10.3390/jpm12060936.


DOI:10.3390/jpm12060936
PMID:35743722
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9225607/
Abstract

The development of precision psychiatry is largely based on multi-module measurements from the molecular, cellular, and behavioral levels, which are integrated to assess neurocognitive performances and clinically observed psychopathology. Nevertheless, quantifying mental activities and functions accurately and continuously has been a major difficulty within this field. This article reviews the latest efforts that utilize mobile apps to collect human-smartphone interaction data and contribute towards digital biomarkers of mental illnesses. The fundamental principles underlying a behavioral analysis with mobile apps were introduced, such as ways to monitor smartphone use under different circumstances and construct long-term patterns and trend changes. Examples were also provided to illustrate the potential applications of mobile apps that gain further insights into traditional research topics in occupational health and sleep medicine. We suggest that, with an optimized study design and analytical approach that accounts for technical challenges and ethical considerations, mobile apps will enhance the systemic understanding of mental illnesses.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbbb/9225607/9768f9d968a4/jpm-12-00936-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbbb/9225607/558eadfab98a/jpm-12-00936-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbbb/9225607/6d95fdc4b1f8/jpm-12-00936-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbbb/9225607/92c48411c8c1/jpm-12-00936-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbbb/9225607/ef281984e8df/jpm-12-00936-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbbb/9225607/3e2c940cf438/jpm-12-00936-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbbb/9225607/f4048d56c4a5/jpm-12-00936-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbbb/9225607/382601443796/jpm-12-00936-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbbb/9225607/9768f9d968a4/jpm-12-00936-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbbb/9225607/558eadfab98a/jpm-12-00936-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbbb/9225607/6d95fdc4b1f8/jpm-12-00936-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbbb/9225607/92c48411c8c1/jpm-12-00936-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbbb/9225607/ef281984e8df/jpm-12-00936-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbbb/9225607/3e2c940cf438/jpm-12-00936-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbbb/9225607/f4048d56c4a5/jpm-12-00936-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbbb/9225607/382601443796/jpm-12-00936-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbbb/9225607/9768f9d968a4/jpm-12-00936-g008.jpg

相似文献

[1]
Development of Digital Biomarkers of Mental Illness via Mobile Apps for Personalized Treatment and Diagnosis.

J Pers Med. 2022-6-6

[2]
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[5]
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[6]
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[10]
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引用本文的文献

[1]
The implementation of digital biomarkers in the diagnosis, treatment and monitoring of mood disorders: a narrative review.

Front Digit Health. 2025-6-17

[2]
Sex differences in PTSD speech biomarkers assessed by virtual agent-induced conversations.

Front Psychol. 2025-4-28

[3]
The comprehensive clinical benefits of digital phenotyping: from broad adoption to full impact.

NPJ Digit Med. 2025-4-8

[4]
Feasibility and Acceptability of Collecting Passive Smartphone Data for Potential Use in Digital Phenotyping Among Family Caregivers and Patients With Advanced Cancer.

JCO Clin Cancer Inform. 2025-1

[5]
Developing Methods for Assessing Mental Activity Using Human-Smartphone Interactions: Comparative Analysis of Activity Levels and Phase Patterns in General Mental Activities, Working Mental Activities, and Physical Activities.

J Med Internet Res. 2024-6-17

[6]
Mapping the ethical landscape of digital biomarkers: A scoping review.

PLOS Digit Health. 2024-5-16

[7]
Advances and Opportunities of Mobile Health in the Postpandemic Era: Smartphonization of Wearable Devices and Wearable Deviceization of Smartphones.

JMIR Mhealth Uhealth. 2024-1-22

[8]
Examining Human-Smartphone Interaction as a Proxy for Circadian Rhythm in Patients With Insomnia: Cross-Sectional Study.

J Med Internet Res. 2023-12-15

[9]
Digital Health Technology for Real-World Clinical Outcome Measurement Using Patient-Generated Data: Systematic Scoping Review.

J Med Internet Res. 2023-10-11

[10]
The Use of Mobile Assessments for Monitoring Mental Health in Youth: Umbrella Review.

J Med Internet Res. 2023-9-19

本文引用的文献

[1]
Assessing Physicians' Recall Bias of Work Hours With a Mobile App: Interview and App-Recorded Data Comparison.

J Med Internet Res. 2021-12-24

[2]
Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic.

Lancet. 2021-11-6

[3]
Assessing User Retention of a Mobile App: Survival Analysis.

JMIR Mhealth Uhealth. 2020-11-26

[4]
Role of digital therapeutics and the changing future of healthcare.

J Family Med Prim Care. 2020-5-31

[5]
Automatic Work-Hours Recorder for Medical Staff (Staff Hours): Mobile App Development.

JMIR Mhealth Uhealth. 2020-2-25

[6]
Time for the Human Screenome Project.

Nature. 2020-1

[7]
Mental health effects of long work hours, night and weekend work, and short rest periods.

Soc Sci Med. 2020-2

[8]
A prospective study of the factors associated with life quality during medical internship.

PLoS One. 2019-8-12

[9]
Digital biomarkers of cognitive function.

NPJ Digit Med. 2018-3-28

[10]
Validation of the Mobile App-Recorded Circadian Rhythm by a Digital Footprint.

JMIR Mhealth Uhealth. 2019-5-16

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