WebMD Drug Reviews: Patient Satisfaction and Side Effects

Approximately 360,000 unique patient reviews scraped from WebMD, updated until March 2020. The data includes user ratings, comments on specific drugs, related conditions, side effects, and demographic information like age and sex. It is intended for analyzing patient satisfaction and predicting drug ratings.

Use Cases

• Classify patient conditions based on drug review text.
• Predict drug satisfaction ratings based on patient reviews and demographic features.
• Visualize drug ratings across different patient demographics and conditions.
• Analyze sentiment trends in patient feedback for specific medications.
• Identify common side effects associated with different drugs and patient groups.

Strengths

• Contains approximately 360,000 unique patient reviews.
• Includes multiple data points per review: drug, condition, side effects, age, sex, and rating.
• Released under a permissive CC0-1.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.
• Data may reflect source bias inherent to WebMD's user base.

Provenance

Source

WebMD

Collection Method

Scraped from the WebMD website.

Time Range

Until March 2020

Freshness

Updated until March 2020.