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	title        = {Identification of Named Entities and Medical Terminology in Swedish Patient Records.},
	abstract     = {An anonymisation or de-identification system can provide a broad spectrum of services related to the growing demands for better forms of dissemination 
of information about individuals found in electronic patient records. The range of these services includes: health care statistics and sharing clinical 
information across institutions; validation and monitoring of new diagnostic tests; release of individual data by protecting identities or hints that 
can identify individuals, and appropriate mechanisms to provide only the information necessary to the professional who has the need to know. 
This paper describes our first experiments intended for automatic anonymisation of Swedish electronic patient records using a generic system
 for Named Entity Recognition. There are eight main types of entities that the system recognizes: “person”, “location”, “organisation”, “event”, 
“object”, “work & art”, “time” and “measure”. To this set, two new modules have been recently developed. 
One is dedicated to animacy recognition, a modules based on a number of clues (such as key words utilized in the person’s module 
grammar and verbs requiring animate subject), and another one designated to identify and annotate medical terminology. 
The latter module annotates names of drugs and chemical substances, diseases, symptoms, organisms and anatomical terms. 
A detailed evaluation of the system, on authentic patient records, is given both for the named, medical and animate entities. 
	booktitle    = {WSEAS Transactions on BIOLOGY and BIOMEDICINE},
	author       = {Kokkinakis, Dimitrios},
	year         = {2005},
	volume       = {2},
	number       = {3},
	pages        = {312--317},