Many studies have used Digital Phenotyping of Mental Health (DPMH) to complement
classic methods of mental health assessment and monitoring. This research area proposes …

Background Mental disorders are normally diagnosed exclusively on the basis of symptoms,
which are identified from patients' interviews and self-reported experiences. To make mental …

As mental health (MH) disorders become increasingly prevalent, their multifaceted
symptoms and comorbidities with other conditions introduce complexity to diagnosis, posing …

The landscape of mental health has undergone tremendous changes within the last two
decades, but the research on mental health is still at the initial stage with substantial …

Background The COVID-19 pandemic has increased the impact and spread of mental
illness and made health services difficult to access; therefore, there is a need for remote …

Personal and ubiquitous sensing technologies such as smartphones have allowed the
continuous collection of data in an unobtrusive manner. Machine learning methods have …

Introduction Rapid advancements in technology and the ubiquity of personal mobile digital
devices have brought forth innovative methods of acquiring healthcare data. Smartphones …

Background Mood disorders are commonly diagnosed and staged using clinical features
that rely merely on subjective data. The concept of digital phenotyping is based on the idea …

Background Digital phenotyping may detect changes in health outcomes and potentially
lead to proactive measures to mitigate health declines and avoid major medical events …

Objective: Psychiatric evaluation suffers from subjectivity and bias, and is hard to scale due
to intensive professional training requirements. In this work, we investigated whether …