A Multimodal Clinical-Psychosocial and Audio Dataset of Psychiatric Patients

Published: 8 October 2026| Version 3 | DOI: 10.17632/wr8n8kz4vm.3
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Description

The dataset includes sociodemographic characteristics, clinical profile, illness and hospitalization history, substance use, sleep and appetite-related factors, physical activity, psychosocial stressors, social support, functioning, self-rated health, life satisfaction, medication indicators, audio-linked fields, and clinician-observed speech and behavior features collected from 196 patients at Pabna Mental Hospital, Bangladesh. Depression and anxiety symptom information is represented through item-level Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) responses, with derived total scores and severity categories based on standard scoring procedures.

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Categories

Psychology, Audio Recording, Clinical Analysis, Multimodality

Funders

  • Research and Technology Transfer Cell of Pabna University of Science and Technology
    Grant ID: PUST-RTTC-Project-2025-July-90/108

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