Postpartum Depression Questionnaire Data from a Medical Hospital

A dataset of 1503 records collected from a medical hospital via a Google form questionnaire. The data includes 15 attributes, with 10 selected for this release, including 9 features and 1 target attribute. The target attribute 'Feeling Anxious' was chosen as a predictor for postpartum depression.

Use Cases

• Predicting postpartum depression risk based on questionnaire responses, including the 'Feeling Anxious' target.
• Analyzing correlations between self-reported anxiety and other mental health indicators in postpartum women.
• Training binary classifiers to identify at-risk individuals from clinical questionnaire data.
• Conducting feature importance analysis on the 9 selected attributes to understand key predictors.

Strengths

• Contains 1503 patient records, providing a substantive sample size for analysis.
• Includes a clearly defined target variable ('Feeling Anxious') for predictive modeling.
• Data was collected via a structured questionnaire from a medical hospital, suggesting a clinical context.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is known, but the specific features, data distribution, and potential biases are not described.
• Last update date is unknown; freshness unverified.

Provenance

Source

Md Parvez Mosaraf, data gathered from a medical hospital.

Collection Method

Questionnaire administered through a Google form.

Time Range

unknown

Freshness

unknown

Geography

unknown