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