Patient Records for 100K Individuals with 15 Medical Conditions

100,000 patient records include data on 15 medical conditions, ICD-10 codes, lab results, medications, and 30-day readmission status. The dataset is tagged with specific medical domains including Covid19 and Cancer. It is described as synthetic data.

Use Cases

• Predict 30-day readmission risk using patient demographics, ICD-10 codes, and lab results.
• Analyze medication prescription patterns across the 15 documented medical conditions.
• Build a classifier to identify patient cohorts based on ICD-10 codes and associated lab results.
• Investigate correlations between specific conditions like Covid19 or Cancer and medication types.

Strengths

• Contains records for 100,000 patients, providing a substantial sample size for analysis.
• Covers 15 distinct medical conditions, enabling multi-condition studies.
• Includes multiple data modalities such as ICD-10 codes, lab results, and medications.

Limitations

• The dataset is synthetic, which may limit the realism and generalizability of findings to real-world populations.
• Specific column definitions, data completeness, and potential class imbalances are unknown.
• The geographic origin and temporal coverage of the patient records are not specified.