Data Visualization and Predictive Modeling in Mental Health: Insights from the Patient Health Questionnaire Analysis

Abstract

The Patient Health Questionnaire (PHQ) is a valuable set of standardized self-report questionnaires. This PHQ is widely employed in clinical settings, primary care, and mental health services to assess and screen for a variety of mental health conditions. The PHQ encompasses various modules customized to specific disorders, such as the PHQ-9 for depression, GAD-7 for generalized anxiety disorder, and PHQ-15 for somatic symptom severity, among others. These modules offer a structured and standardized means to collect information about an individual's mental health, facilitating treatment planning and progress evaluation. It is important to emphasize that the analysis of PHQ data has been performed using the IBM Congo’s application, enhancing the efficiency and accuracy of the assessment process. It is crucial to recognize that the PHQ primarily serves as a screening and assessment application. Any definitive diagnosis or treatment decisions should always involve a comprehensive clinical evaluation conducted by a trained healthcare professional. The PHQ, when combined with modern analytical applications such as IBM Congo's, represents a valuable resource in the field of mental health evaluation, allowing for more efficient and specific patient therapy.