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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/14345


    Title: Development of digital biomarkers of mental illness via mobile apps for personalized treatment and diagnosis
    Authors: Chen, IM;Chen, YY;Liao, SC;Lin, YH
    Contributors: Institute of Population Health Sciences
    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.
    Date: 2022-06-06
    Relation: Journal of Personalized Medicine. 2022 Jun 6;12(6):Article number 936.
    Link to: http://dx.doi.org/10.3390/jpm12060936
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=2075-4426&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000816060500001
    Cited Times(Scopus): https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85132018627
    Appears in Collections:[林煜軒] 期刊論文

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