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Synthetic Postpartum Depression Dataset
Patient Health Records & Digital Health
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£199.99
About
The Synthetic Postpartum Depression Dataset is designed for educational and research purposes to analyze the mental health and behavioral patterns of individuals during the postpartum period. It provides anonymized, synthetic data on various psychological symptoms, mood, and behavior in the first year after childbirth.
Dataset Features
- Age: Age of the individual (in years).
- Feeling sad or Tearful: Frequency of feeling sad or tearful (Yes/Sometimes/No).
- Irritable towards baby & partner: Whether the individual experiences irritability towards their baby and partner (Yes/No).
- Trouble sleeping at night: Frequency of trouble sleeping at night (Two or more days a week/No).
- Problems concentrating or making decision: Whether the individual faces issues with concentration or decision-making (Yes/No).
- Overeating or loss of appetite: Whether the individual experiences overeating or loss of appetite (Yes/No).
- Feeling anxious: Presence of anxiety (Yes/No).
- Feeling of guilt: Presence of feelings of guilt (Yes/No).
- Problems of bonding with baby: Issues with bonding with the baby (Yes/No).
- Suicide attempt: Whether the individual has attempted suicide (Yes/No).
Distribution
Usage
This dataset can be used for the following applications:
- Healthcare Analytics: Identify patterns in postpartum mental health symptoms and their impact.
- Predictive Modeling: Develop machine learning models to predict postpartum depression risks.
- Clinical Research: Investigate associations between mental health symptoms and postpartum recovery.
- Educational Purposes: Provide a dataset for students in psychology, medical, data science, and public health fields to analyze real-world health trends.
Coverage
This synthetic dataset is fully anonymized and complies with data privacy standards. It includes a variety of demographic and psychological factors to support a broad range of research and analysis.
License
CC0 (Public Domain)
Who Can Use It
- Healthcare Researchers: To explore correlations between mental health symptoms and postpartum depression.
- Clinicians and Mental Health Practitioners: To analyze factors contributing to postpartum mental health issues.
- Data Scientists and Machine Learning Practitioners: To develop predictive models for mental health-related conditions.
- Educators and Students: As a resource for studying health analytics and mental health research.
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