Changes between Version 9 and Version 10 of i2b2 AUG 2013

Timestamp:

06/24/13 11:37:06 (11 years ago)

Author:

Richard Bramley

Comment:

--

i2b2 AUG 2013

@@ -50 +50 @@
 1. Ambiguous terms - terms that may have two meanings.
 
+Entities are identified by a combination of normalisation and longest term matching.
+
+Normalisation is the process whereby a term is manipulated to produce a form of words that will match a large number of potential matches.  The process involves removing noise words, standardising inflections and derivatives (e.g., remove plural), converting to lower case, and sorting the words into alphabetical order.
+
+In order to extract the most meaning from the text, an attempt is made to try to match the term with the most number of matching words.  For example, 'left atrium' as opposed to just 'atrium'.
+
 ==== Types of Resources useful for Entity Recognition ====
 
@@ -92 +98 @@
 1. [http://www.ebi.ac.uk/webservices/whatizit/info.jsf|WhatIzIt]
 
+==== Relationship Extraction ====
+
+1. [http://skr.nlm.nih.gov/|SemRep]
+
+==== Orbit Project ====
+
+The [http://orbit.nlm.nih.gov/|Orbit Project] is the Online Registry of Biomedical Informatics Tools.
+
 
 === [=#NLP2 Ontology-based De-identification of Clinical Naratives] ===