Jian Cao1, PhD; Anh Lan Truong2, MD; Sophia Banu2, MD; Asim A Shah2, MD; Ashutosh Sabharwal1, PhD; Nidal Moukaddam2, MD, PhD Cao et el # Journal paper: Tracking and Predicting Depressive Symptoms of Adolescents Using Smartphone-Based Self-Reports, Parental Evaluations, and Passive Phone Sensor Data: Development and Usability Study https://mental.jmir.org/2020/1/e14045/ --- This 2020 paper explored whether they can predict depressive symptoms in teens ![[Screenshot 2023-06-27 at 8.57.44 PM.png]] According to this paper, it is proposed that depressive symptoms can be predicted by utilizing a passive phone sensor. 1. Teens EMA + Sensors 2. Caregivers EMA 3. EMA only “Lower levels of mobility and fewer social interactions were predictive of higher depression symptoms, which was consistent with a decline in mobility and social communications in individuals with depression.” (Cao et al., 2020, p. 8) “The highest accuracy in predicting PHQ-9 was 90%, which was achieved by combining the teens’ and parents’ inputs with SMS/call/steps/GPS data.” (Cao et al., 2020, p. 9) ==“Our study also showed evidence that by using only passive sensor loggings, we could achieve comparable prediction accuracy by using both sensor loggings and self-inputs.” (Cao et al., 2020, p. 9)== ![[Screenshot 2023-09-06 at 10.55.59 AM.png]] ^c3f986