EMI - Panic Disorder Detection Dataset, Patient History (Synthetic)

Dataset Features

• Participant ID: Unique identifier for each participant.
• Age: Age of the participant (in years).
• Gender: Gender of the participant (Male/Female).
• Family History: Whether the participant has a family history of mental health disorders (Yes/No).
• Personal History: Whether the participant has a personal history of mental health disorders (Yes/No).
• Current Stressors: Current stress level (Low/Moderate/High).
• Symptoms: Symptoms reported by the participant (e.g., fear of losing control, chest pain, shortness of breath, etc.).
• Severity: Severity of the panic disorder symptoms (Mild/Moderate/Severe).
• Impact on Life: The impact of symptoms on daily life (Mild/Moderate/Significant).
• Demographics: The geographical location of the participant (Urban/Rural).
• Medical History: Previous medical conditions (e.g., asthma, heart disease).
• Psychiatric History: Previous psychiatric conditions (e.g., anxiety disorder, depressive disorder).
• Substance Use: Substance use history (e.g., drugs, alcohol).
• Coping Mechanisms: Coping strategies employed by the participant (e.g., exercise, meditation, socializing).
• Social Support: The level of social support (Low/High).
• Lifestyle Factors: Lifestyle factors (e.g., sleep quality, diet, exercise).
• Panic Disorder Diagnosis: Whether the participant has been diagnosed with panic disorder (Yes/No).

Distribution

Usage

• Mental Health Research: Investigate the relationship between various demographic, psychological, and behavioral factors with the presence and severity of panic disorder.
• Predictive Modeling: Build machine learning models to predict panic disorder diagnosis and severity based on participant data.
• Clinical Research: Study the impact of stressors, family history, and coping mechanisms on panic disorder development and outcomes.
• Educational Purposes: Provide a dataset for students and researchers in psychology, psychiatry, data science, and mental health fields to analyze mental health patterns.

Coverage

License

Who Can Use It

• Mental Health Researchers: To explore correlations between psychological, behavioral, and demographic factors and panic disorder.
• Clinicians and Psychiatrists: To analyze how various risk factors contribute to the development and severity of panic disorder.
• Data Scientists and Machine Learning Practitioners: To develop predictive models for panic disorder diagnosis and progression.
• Educators and Students: As a resource for studying mental health analytics and psychiatric research.