Kidney risk records from repeated patient visits, likely sourced from electronic health records. The dataset appears to track the progression of Chronic Kidney Disease over time. It is hosted on Kaggle, but specific details about its size, origin, and update frequency are not provided.
Use Cases
- Train a model to predict CKD stage progression from patient visit history (inferred from domain, verify after download)
- Analyze temporal patterns and risk factors associated with kidney function decline (inferred from domain, verify after download)
- Benchmark survival analysis or time-to-event models for a chronic condition (inferred from domain, verify after download)
Strengths
- Published on Kaggle, a platform with an active data science community.
- The title and description suggest a longitudinal structure, which is valuable for studying progression.
Limitations
- Metadata is minimal; actual content requires verification after download.
- Row count, column definitions, and data completeness are unknown.
- The license, author, and last update date are unspecified.
Provenance
- Source
- Kaggle
- Collection Method
- Likely extracted from electronic health records, but the specific extraction process is unknown.