related [[Digital Phenotype Signals associated with Anxiety]] [[Digital Phenotype Signals associated with Psychosis]] [[Digital Phenotype Signals associated with Bipolar Disorder]] [[DP - Geolocation]] [[DP - Sleep]] [[DP - Speech]] Source : [[Article - Technology and Mental Health. State of the Art for Assessment and Treatment]] Clinically elevated and subthreshold depressive symptoms have been predicted by geolocation-derived measures of circadian rhythm, normalized entropy, and location variance, as well as phone usage frequency and speech-derived audio volume (102–105). 102. Saeb S, Zhang M, Karr CJ, et al: Mobile phone sensor correlates of depressive symptom severity in daily-life behavior: an exploratory study. J Med Internet Res 2015; 17:e175 103. Saeb S, Lattie EG, Schueller SM, et al: The relationship between mobile phone location sensor data and depressive symptom se- verity. PeerJ 2016; 4:e2537 104. Sarda A, Munuswamy S, Sarda S, et al: Using passive smartphone sensing for improved risk stratification of patients with depression and diabetes: cross-sectional observational study. JMIR Mhealth Uhealth 2019; 7:e11041 1. Di Matteo D, Fotinos K, Lokuge S, et al: The relationship between smartphone-recorded environmental audio and symptomatology of anxiety and depression: exploratory study. JMIR Form Res 2020; 4:e18751 2. [[Article - A systematic review of momentary assessment designs for mood and anxiety symptoms]]