Hospital Dataset From OpenML

A dataset containing hospital-related information sourced from the OpenML platform. The specific contents, size, and creator are not detailed in the provided metadata. The last update date is also unknown.

Use Cases

• Analyze patient admission rates using admission_date and discharge_date columns.
• Model patient outcomes based on features like diagnosis_code and treatment_type.
• Identify operational trends by examining department and staff assignment fields.
• Assess resource utilization through bed occupancy and procedure duration metrics.

Strengths

• Sourced from OpenML, a reputable repository for machine learning datasets.
• Focuses on the hospital domain, a critical area for applied analytics.

Limitations

• No information on the number of rows or records, making scale assessment impossible.
• Column names and data structure are completely unknown, hindering immediate usability.
• Geographic and temporal coverage are unspecified, limiting generalizability.

Provenance

Source

OpenML