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README.md

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+### A 10,000-patient database that contains in total 10,000 patients, 36,143 admissions, and 10,726,505 lab observations. ###
+### Created by: Uri Kartoun, PhD, Copyright 2014.                                                                         ###
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+
+The Problem
+It is difficult and expensive to access Electronic Medical Records (EMRs) due to privacy concerns and technical problems.
+I am a student or a researcher working at a university that does not have yet an access to EMR system and I am interested in evaluating machine learning algorithms.
+Tedious bureaucracy.
+
+I am teaching a computer science course and I wish to let my 150 students to experiment with electronic medical records.
+Not possible due to privacy issues.
+
+I am in a process of founding a company focused on developing a new EMR management platform and I want to demonstrate to a venture capital company and to potential customers the ability of my product to handle big data.
+Current simulated medical databases are limited and are hard to configure.
+
+The Solution
+A database of artificial patients.
+The data is generated according to pre-defined criteria and is not based on any human data.
+
+The database contains the same characteristics that exist in a real medical database such as patients  admission details, demographics, socioeconomic details, labs, medications, etc.
+
+The database is customizable. For example, it is possible to generate a population of 100,000 patients of which 60% are male, 40% are African American, 15% are diabetic, specific lab range distributions can be set, etc.
+
+The number of records can range from several thousands to millions, depending on the desired configuration.