Research in digital phenotyping
Smartphones in mental health: a critical review of background issues, current status and future concerns Bauer et al, January 2020
A survey on big data-driven digital phenotyping of mental health Y Liang et al, December 2019
Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety Huckvale et al , September 2019
Fusing Mobile Phone Sensing and Brain Imaging to Assess Depression in College Students Huckins et al, March 2019
Machine learning in mental health: a scoping review of methods and applications Shatte et al, February 2019
Human Physical Activity Recognition Using Smartphone Sensors Voicu et al, January 2019
Is India ready for mental health apps (MHApps)? A quantitative-qualitative exploration.... Deb et al, September 2018
DemonicSalmon: Monitoring Mental Health and Social Interactions of College Students Using Smartphones Boukhechba et al, September 2018
Predicting Symptom Trajectories of Schizophrenia using Mobile Sensing R. Wang et al, September 2018
DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection Bokai Cao et al, March 2018
Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning Mohr et al, Marc h 2017
Trajectories of depression: unobtrusive monitoring of depressive states by means of smartphone mobility traces analysis Luca Canzian and Mirco Musolesi, September 2015
Mobile phones as medical devices in mental disorder treatment: an overview Gravenhorst et al, September 2014