Patient Survey Responses for Depression Detection with 14 Symptom Questions

14 survey questions per patient, with responses coded from 1 to 6 based on symptom frequency. The dataset, created by Hamja S. Shaikh and sourced from Kaggle, includes a column indicating each patient's overall depression state. Row count and update date are unknown.

Use Cases

• Classifying depression state based on coded symptom frequency responses.
• Analyzing symptom correlation patterns from the 14-question survey structure.
• Training predictive models for mental health assessment using behavioral survey data.

Strengths

• Includes a target column for depression state, suitable for supervised learning.
• Each record contains 14 consistently coded features (1-6) for model input.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kaggle, author Hamja S. Shaikh

Collection Method

Patient survey responses

Time Range

null

Freshness

null

Geography

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