Publications by authors named "Ivan R Moura"
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 health diagnoses and monitoring more objective, different solutions have been proposed such as digital phenotyping of mental health (DPMH), which can expand the ability to identify and monitor health conditions based on the interactions of people with digital technologies.
Objective: This article aims to identify and characterize the sensing applications and public data sets for DPMH from a technical perspective.
Article Synopsis
- Traditional mental health assessments often rely on subjective self-report questionnaires during in-person meetings, which can be affected by cognitive biases.
- A new solution aims to detect social behavior patterns and changes using data from everyday devices, rather than focusing solely on diagnosing mental states.
- The approach employs algorithms and fuzzy logic to identify and differentiate between normal and abnormal social behaviors, showing a strong correlation with individuals' social routines in evaluation tests.