Output details
11 - Computer Science and Informatics
University of Sussex
Article title
Extracting diagnoses and investigation results from unstructured text in electronic health records by semi-supervised machine learning
Type
D - Journal article
Title of journal
PLoS ONE
Article number
-
Volume number
7
Issue number
1
First page of article
e30412
ISSN of journal
1932-6203
Year of publication
2012
Number of additional authors
5
Additional information
<24>This paper is the result of collaboration with leading experts in the computer science and epidemiology departments at UCL. From Jan 2012 to October 2012 the article was viewed online 1442 times (464 pdf downloads).
Interdisciplinary
-
Cross-referral requested
-
Research group
E - Cognitive and Lang Processing Systems
Citation count
3
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
