kartoun commited on
Commit
5a56e72
·
verified ·
1 Parent(s): 99ff664

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +3 -3
README.md CHANGED
@@ -13,10 +13,10 @@ tags:
13
  ---
14
  #############################################################################################################################
15
  ### A 10,000-patient database that contains in total 10,000 patients, 36,143 admissions, and 10,726,505 lab observations. ###
16
- ### Created by: Uri Kartoun, PhD, Copyright 2014. ###
17
  #############################################################################################################################
18
 
19
- The Problem
20
  It is difficult and expensive to access Electronic Medical Records (EMRs) due to privacy concerns and technical problems.
21
  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.
22
  Tedious bureaucracy.
@@ -27,7 +27,7 @@ Not possible due to privacy issues.
27
  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.
28
  Current simulated medical databases are limited and are hard to configure.
29
 
30
- The Solution
31
  A database of artificial patients.
32
  The data is generated according to pre-defined criteria and is not based on any human data.
33
 
 
13
  ---
14
  #############################################################################################################################
15
  ### A 10,000-patient database that contains in total 10,000 patients, 36,143 admissions, and 10,726,505 lab observations. ###
16
+ ### Created by: Uri Kartoun, PhD, Copyright 2014 (https://urikartoun.com/). ###
17
  #############################################################################################################################
18
 
19
+ **The Problem**
20
  It is difficult and expensive to access Electronic Medical Records (EMRs) due to privacy concerns and technical problems.
21
  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.
22
  Tedious bureaucracy.
 
27
  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.
28
  Current simulated medical databases are limited and are hard to configure.
29
 
30
+ **The Solution**
31
  A database of artificial patients.
32
  The data is generated according to pre-defined criteria and is not based on any human data.
33