README for OCD Patient Dataset

Overview

The OCD Patient Dataset is a comprehensive collection of information pertaining to 1500 individuals diagnosed with Obsessive-Compulsive Disorder (OCD). This dataset encompasses a wide range of parameters, providing detailed insights into the demographic and clinical profiles of these individuals.

Dataset Contents

Demographic Information

• Age
• Gender
• Ethnicity
• Marital Status
• Education Level

Clinical Information

• Date of OCD Diagnosis
• Duration of Symptoms
• Previous Psychiatric Diagnoses

OCD Symptoms

• Types of Symptoms: Categorized into obsessions and compulsions.
• Severity Assessment: Utilizes the Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) scores for both obsessions and compulsions.

Co-occurring Conditions

• Documentation of any co-occurring mental health conditions, including:
  • Depression
  • Anxiety Diagnoses

Treatment Information

• Medications Prescribed: Insights into treatment approaches employed.
• Family History of OCD: Information regarding potential genetic or environmental factors.

Purpose

This dataset serves as a valuable resource for:

• Researchers: Seeking to explore OCD's manifestations and underlying factors.
• Clinicians: Aiding in understanding patient profiles for better treatment strategies.
• Mental Health Professionals: Gaining insights into the diverse experiences of individuals with OCD.

Insights Extracted

Data Analysis Process

1. Data Storage: Initially stored and managed using MySQL.
2. Visualization Tools: Utilized Power BI and Excel for data visualization.

Key Insights

• Gender Distribution: The patient count is almost evenly split by gender, with 753 males and 747 females.
• Ethnicity Insights:
  • Caucasian patients have the highest count at 398.
  • Asian patients exhibit the highest average obsession score of 20.32, compared to other ethnicities.
• Yearly Trends: The year 2018 had the highest patient count with 204 individuals diagnosed.
• Obsession Types:
  • Harm-related obsessions have the highest patient count at 333, with the highest obsession score noted for hoarding at 21.01.
• Compulsion Types:
  • Washing compulsions show a high patient count of 321, where the obsession score is highest for counting at 20.41.

Visualizations

• Include examples of key visualizations created in Power BI or Excel that illustrate your findings.

Conclusion

These insights not only demonstrate the dataset's applicability but also encourage others to explore it further for their research or clinical practice.

Contribution

Contributions to the dataset or related research are welcome. Please adhere to the following guidelines:

• Ensure data integrity and confidentiality.
• Cite the dataset appropriately in any publications or presentations.

License

This dataset is currently not-specified. Please ensure to check for any usage restrictions or guidelines provided by the dataset's source. For any questions regarding usage, please contact the dataset provider.

Contact

For any inquiries or further information, please contact:

• Arif Shaik
• arifshaik264@gmail.com