Yang, Hui, Spasic, Irena ORCID: https://orcid.org/0000-0002-8132-3885, Keane, John A. and Nenadic, Goran 2009. A Text Mining Approach to the Prediction of Disease Status from Clinical Discharge Summaries. Journal of The American Medical Informatics Association 16 (4) , pp. 596-600. 10.1197/jamia.M3096 |
Official URL: http://jamia.bmj.com/content/16/4/596.full
Abstract
The authors present a system developed for the Challenge in Natural Language Processing for Clinical Dataâ
Item Type: | Article |
---|---|
Status: | Published |
Schools: | Computer Science & Informatics |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Uncontrolled Keywords: | Mcisb; Spasic |
Publisher: | BMJ Journals |
ISSN: | 1527-974X |
Last Modified: | 17 Oct 2022 09:56 |
URI: | https://orca.cardiff.ac.uk/id/eprint/6210 |
Citation Data
Cited 78 times in Scopus. View in Scopus. Powered By Scopus® Data
Actions (repository staff only)
Edit Item |