Results

B. Martinovski, Reframing framing. Springer, 2012.

M. Skeppstedt, M. Kvist and H. Dalianis, Rule-based Entity Recognition and Coverage of SNOMED CT in Swedish Clinical Text. 2012.

S. Velupillai and M. Kvist, Fine-grained Certainty Level Annotations Used for Coarser-grained E-health Scenarios. pp. 450-461, Springer-Verlag Berlin Heidelberg, 2012.

H. Allvin and M. Kvist, Lättillgängliga journaler – rättighet med problem?. 2011.

H. Allvin, E. Carlsson, H. Dalianis, R. Danielsson-Ojala, V. Daudaravieius, M. Hassel, D. Kokkinakis, H. Lundgrén-Laine, G. Nilsson, Ø. Nytrø, S. Salanterä, M. Skeppstedt, H. Suominen and S. Velupillai, Characteristics of Finnish and Swedish intensive care nursing narratives: a comparative analysis to support the development of clinical language technologies. In Journal of Biomedical Semantics, Vol. 2, No. Suppl 3, BioMed Central, 2011.

H. Dalianis, M. Hassel and S. Velupillai, Louhi 2010: Special issue on Text and Data Mining of Health Documents. Biomed Central, 2011.

H. Dalianis, J. Sjöbergh and E. Sneiders, Comparing Manual Text Patterns and Machine Learning for Classification of E-Mails for Automatic Answering by a Government Agency. pp. 234-243, Springer-Verlag Berlin Heidelberg, 2011.

M. Hassel, A. Henriksson and S. Velupillai, Something Old, Something New. pp. 287-290, Northern European Association for Language Technology (NEALT), 2011.

M. Hassel and H. Dalianis, Portable Text Summarization. IGI Global, 2011.

A. Henriksson, M. Hassel and M. Kvist, Diagnosis Code Assignment Support Using Random Indexing of Patient Records. pp. 342-346, Springer Verlag, 2011.

A. Henriksson and M. Hassel, Election of Diagnosis Codes. pp. 67-74, CEUR-WS.org, 2011.

A. Henriksson and M. Hassel, Exploiting Structured Data, Negation Detection and SNOMED CT Terms in a Random Indexing Approach to Clinical Coding. pp. 3-10, ACL Anthology, 2011.

I. Hjälmstad, M. Hassel and M. Skeppstedt, The Impact of Part-of-Speech Filtering on Generation of a Swedish-Japanese Dictionary Using English as Pivot Language. pp. 98-105, Northern European Association for Language Technology (NEALT), 2011.

M. Kvist, M. Skeppstedt, S. Velupillai and H. Dalianis, Modeling human comprehension of Swedish medical records for intelligent access and summarization systems - Future vision, a physician’s perspective. pp. 31-35, tapir academic press, 2011.

M. Skeppstedt and H. Dalianis, Using SNOMED CT for High Precision Entity Recognition in Swedish Clinical text. 2011.

M. Skeppstedt, Negation detection in Swedish clinical text: An adaption of NegEx to Swedish. In Journal of Biomedical Semantics, Vol. 2, No. Suppl 3, pp. S3-, BioMed Central, 2011.

M. Skeppstedt, H. Dalianis and G. H. Nilsson, Retrieving disorders and findings: Results using SNOMED CT and NegEx adapted for Swedish. 2011.

H. Tanushi, H. Dalianis and G. Nilsson, Calculating Prevalence of Comorbidity and Comorbidity Combinations with Diabetes in Hospital Care in Sweden Using a Health Care Record Database. pp. 59-66, 2011.

S. Velupillai, H. Dalianis and M. Kvist, Factuality Levels of Diagnoses in Swedish Clinical Text. pp. 559-563, IOS Press, 2011.

S. Velupillai, Automatic Classification of Factuality Levels. 2011.

H. Allvin, E. Carlsson, H. Dalianis, R. Danielsson-Ojala, V. Daudaravicius, M. Hassel, D. Kokkinakis, H. Lundgren-Laine, G. Nilsson, Ø. Nytrø, S. Sanna, M. Skeppstedt, H. Suominen and S. Velupillai, Characteristics and Analysis of Finnish and Swedish Clinical Intensive Care Nursing Narrative. pp. 53-60, 2010.

A. Andrenucci, Creating a Bilingual Psychology Lexikon for Cross Lingual Question Answering, A Follow-up Study. Institute for Systems and Technologies of Information, Control Communication, 2010.

E. Carlsson and H. Dalianis, Influence of Module Order on Rule-Based De-identification of Personal Names in Electronic Patient Records Written in Swedish. European Language Resources Association (ELRA), 2010.

H. Dalianis and S. Velupillai, How Certain are Clinical Assessments? Annotating Swedish Clinical Text for (Un)certainties, Speculations and Negations. pp. 3442-3446, 2010.

H. Dalianis, M. Rosell and E. Sneiders, Clustering E-Mails for the Swedish Social Insurance Agency - What Part of the E-Mail Thread Gives the Best Quality?. Springer Verlag Berlin Heidelberg New York, 2010.