Abstract:
Conducted analysis of the known methods and tools for determining mental state of patients
revealed that despite the significant number of available methods and tools for determining mental state of patients, evidence-based methods and tools (for example, using the Diagnostic and
Statistical Manual of Mental Disorders (DSM-5)) are currently underdeveloped. For the design and
development of a mobile-oriented multimodal information system for determining patient’s mental state, MentSDet, we will use the criteria for determining and classifying mental disorders (in
particular, anxiety disorders, depression disorders, trauma- and stressor-related disorders, obsessive-compulsive disorders) using DSM-5. MentSDet, a mobile-oriented multimodal
information system for determining the patient’s mental state, developed in this article, offers a questionnaire(s) to the patient or his or her family to determine the presence of a specific mental
disorder and, on the basis of the received answers, sends the patient, his/her family and psychiatrist notifications about the presence/absence of a particular mental disorder, and the mental disorder’s
type and severity, i.e., it allows not to miss the onset of the disease, the beginning of the
exacerbation period, or to assess the effectiveness of treatment. The proposed information system is an automated and objective diagnostic tool for the early detection of mental.
