Change search
ReferencesLink to record
Permanent link

Direct link
Calculating Prevalence of Comorbidity and Comorbidity Combinations with Diabetes in Hospital Care in Sweden Using a Health Care Record Database
Stockholm University, , DSV.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
, , Institutionen för data- och systemvetenskap.
2011 (English)Conference paper (Refereed)
Abstract [en]

Access to reliable data from electronic health records is of high importance in several key areas in patient care, biomedical research, and education. However, many of the clinical entities are negated in the patient record text. Detecting what is a negation and what is not is therefore a key to high quality text mining. In this study we used the NegEx system adapted for Swedish to investigate negated clinical entities. We applied the system to a subset of free-text entries under a heading containing the word ‘assessment’ from the Stockholm EPR corpus, containing in total 23,171,559 tokens. Specifically, the explored entities were the SNOMED CT terms having the semantic categories ‘finding’ or ‘disorder’. The study showed that the proportion of negated clinical entities was around 9%. The results thus support that negations are abundant in clinical text and hence negation detection is vital for high quality text mining in the medical domain.

Place, publisher, year, edition, pages
Øystein Nytrø, Laura Slaughter, Hans Moen , 2011.
Keyword [en]
Negation detection, Clinical text, Electronic patient records, SNOMED CT, Swedish
National Category
Information Science
Research subject
Computer and Systems Sciences
URN: urn:nbn:se:su:diva-63487OAI: diva2:450258
Available from: 2011-10-20 Created: 2011-10-20

Open Access in DiVA

fulltext(608 kB)404 downloads
File information
File name FULLTEXT01.pdfFile size 608 kBChecksum SHA-512
Type fulltextMimetype application/pdf

By organisation
Department of Computer and Systems Sciences
Information Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 404 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 454 hits
ReferencesLink to record
Permanent link

Direct link