Electronic Health Records For 100,000 Patients

100,000 patient records contain 361,760 admissions and over 107 million laboratory observations. The database was created by Uri Kartoun, PhD, and is copyrighted as of 2014. It aggregates electronic medical record data for clinical research purposes.

Use Cases

• Predict patient admission likelihood based on historical lab observation patterns.
• Analyze correlations between sequences of lab observations and subsequent admissions.
• Train time-series models on the 107,535,387 lab observations to forecast patient health trajectories.

Strengths

• 100,000 patient records provide a substantial cohort for analysis.
• 107,535,387 lab observations offer high granularity for longitudinal studies.
• 361,760 admissions enable research on hospital utilization patterns.

Limitations

• Data is from 2014 and may not reflect current medical practices or codes.
• Specific column definitions and data completeness for individual features are unknown.
• Geographic and demographic biases in the patient population are not detailed.

Provenance

Source

kartoun

Collection Method

Aggregated from electronic medical record systems.

Time Range

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Freshness

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Geography

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