The Algorithms for the prototyping of the depression analysis from behavioural observation while conducting the PHQ-9 Assessment via the web application

Abstract

Depression was a problem that affects a person's life in society. Tools for early screening or diagnosis before entering a medical procedure. The use of the PHQ-9 Assessment was preferred in which the assessor may distort the responses, resulting in incomplete assessment. This research objectives were design and develop algorithms for the prototyping of the analyzing depression trend from behavioral observation while conducting the PHQ-9 assessment via the web application. The research used the experimental research approach and selected sample by purposive method, undergraduate students who obtained consent to volunteer and evaluated the PHQ-9 assessment. The research identified 3 areas of clinical behavior to be studied and the results were used to obtain suitable tools: tools matching between clinical behavior and technology tools. The results were as follows:  the behaviors demonstrated during the assessment followed a pattern of clinical  consisted of:  1) Facial Emotions, for using in the study of clinical mood/emotion symptoms related to feelings of sadness, depressed faces, depressed, easy to cry by sensing emotions, facial expression changes and movements of: eyes, eyebrows and corners of the mouth, 2) User Behavior Tracking, for using in the study of clinical cognition symptoms related to the concentration of the patient deteriorates, absent-minded, slow or long thought, hesitate, change answer and reaction time through the assessment and apply with the behavior tracking during the PHQ-9 depression assessment through web application , and 3) Head movement, for using in the study of clinical psychomotor symptoms, applying for detect the presence or movement of the head in order to use in the diagnosis of primary depression of students and staff, and support depression diagnosis in clinical efficiency further.