Normal Patient
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This is the home of the Related Projects - Normal Patient space.

This project contains a script that identifies "healthy normal" patients in an i2b2 CRC database. It uses a set of 10 heuristic filters that attempt to eliminate patients who are sick or abnormal or who might no longer be receiving care at your hospital. When run at Partners Healthcare in Boston, only about 1.5% of approximately 2 million patients were identified as healthy normal.

This script should be run in a standard implementation of the i2b2 CRC cell (version 1.3 or higher) in Microsoft SQL Server 2005 or later. It may require about 10 GB of storage and 1 hour processing per one million patients, though this can vary greatly depending on the particular data in the i2b2 instance and the database hardware.

Created by Griffin M Weber, MD, PhD
Beth Israel Deaconess Medical Center, Boston, MA
Harvard Medical School, Boston, MA



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