50,000 patient instances with 23 clinical and demographic variables, compiled by a consortium of medical researchers including S. Hammer, D. Katzenstein, and M. Hughes. The dataset includes treatment details, demographic information, clinical test results, and disease progression indicators for AIDS patients. It is shared under a CC0-1.0 license.
Use Cases
- Evaluate treatment efficacy based on treatment codes and response variables.
- Identify prognostic factors for disease progression based on clinical test results like CD4 counts and Karnofsky scores.
- Develop predictive models for HIV infection status using demographic and behavioral attributes.
- Analyze the relationship between opportunistic infections and patient outcomes.
Strengths
- 50,000 patient records provide a substantial sample for analysis.
- 23 columns include a mix of treatment, demographic, clinical, and behavioral variables.
- Specific clinical indicators like Karnofsky score and multiple CD4 count measurements are documented.
Limitations
- Last update date is unknown; freshness unverified.
- Row count is unknown, which may limit suitability assessment.
- Data may reflect temporal or demographic bias inherent to its original clinical study context.
Provenance
- Source
- S. Hammer, D. Katzenstein, M. Hughes, H. Gundacker, R. Schooley, R. Haubrich, W. K., M. Lederman, J. Phair, M. Niu, M. Hirsch, T. Merigan
- Collection Method
- Likely compiled from clinical studies focusing on AIDS patients.
- Time Range
- null
- Freshness
- Last updated date is unknown.
- Geography
- null