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Maria Kvist
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2010 – 2019
- 2017
- [c21]Aron Henriksson, Maria Kvist, Hercules Dalianis:
Detecting Protected Health Information in Heterogeneous Clinical Notes. MedInfo 2017: 393-397 - 2016
- [c20]Sumithra Velupillai, Rebecka Weegar, Maria Kvist:
Temporal Annotation of Swedish Intensive Care Notes. AMIA 2016 - 2015
- [j4]Aron Henriksson, Maria Kvist, Hercules Dalianis, Martin Duneld:
Identifying adverse drug event information in clinical notes with distributional semantic representations of context. J. Biomed. Informatics 57: 333-349 (2015) - [j3]Sumithra Velupillai, Martin Duneld, Aron Henriksson, Maria Kvist, Maria Skeppstedt, Hercules Dalianis:
Louhi 2014: Special issue on health text mining and information analysis. BMC Medical Informatics Decis. Mak. 15-S(S-2): S1 (2015) - [c19]Rebecka Weegar, Maria Kvist, Karin Sundström, Søren Brunak, Hercules Dalianis:
Finding Cervical Cancer Symptoms in Swedish Clinical Text using a Machine Learning Approach and NegEx. AMIA 2015 - [c18]Jing Zhao, Aron Henriksson, Maria Kvist, Lars Asker, Henrik Boström:
Handling Temporality of Clinical Events for Drug Safety Surveillance. AMIA 2015 - [c17]Hercules Dalianis, Aron Henriksson, Maria Kvist, Sumithra Velupillai, Rebecka Weegar:
HEALTH BANK - A Workbench for Data Science Applications in Healthcare. CAiSE Industry Track 2015: 1-18 - 2014
- [j2]Sumithra Velupillai, Maria Skeppstedt, Maria Kvist, Danielle L. Mowery, Brian E. Chapman, Hercules Dalianis, Wendy W. Chapman:
Cue-based assertion classification for Swedish clinical text - Developing a lexicon for pyConTextSwe. Artif. Intell. Medicine 61(3): 137-144 (2014) - [j1]Maria Skeppstedt, Maria Kvist, Gunnar H. Nilsson, Hercules Dalianis:
Automatic recognition of disorders, findings, pharmaceuticals and body structures from clinical text: An annotation and machine learning study. J. Biomed. Informatics 49: 148-158 (2014) - [c16]Emil Abrahamsson, Timothy Forni, Maria Skeppstedt, Maria Kvist:
Medical text simplification using synonym replacement: Adapting assessment of word difficulty to a compounding language. PITR@EACL 2014: 57-65 - [c15]Gintare Grigonyte, Maria Kvist, Sumithra Velupillai, Mats Wirén:
Improving Readability of Swedish Electronic Health Records through Lexical Simplification: First Results. PITR@EACL 2014: 74-83 - [c14]Lisa Tengstrand, Beáta Megyesi, Aron Henriksson, Martin Duneld, Maria Kvist:
EACL - Expansion of Abbreviations in CLinical text. PITR@EACL 2014: 94-103 - [c13]Maria Kvist, Sumithra Velupillai:
SCAN: A Swedish Clinical Abbreviation Normalizer - Further Development and Adaptation to Radiology. CLEF 2014: 62-73 - [c12]Hideyuki Tanushi, Maria Kvist, Elda Sparrelid:
Detection of Healthcare-Associated Urinary Tract Infection in Swedish Electronic Health Records. InMed 2014: 330-339 - [c11]Elin Lövestam, Sumithra Velupillai, Maria Kvist:
Abbreviations in Swedish Clinical Text - use by three professions. MIE 2014: 720-724 - [e1]Sumithra Velupillai, Martin Duneld, Maria Kvist, Hercules Dalianis, Maria Skeppstedt, Aron Henriksson:
Proceedings of the 5th International Workshop on Health Text Mining and Information Analysis, Louhi@EACL 2014, Gothenburg, Sweden, April 27, 2014. Association for Computational Linguistics 2014, ISBN 978-1-937284-90-9 [contents] - 2013
- [c10]Aron Henriksson, Maria Skeppstedt, Maria Kvist, Martin Duneld, Mike Conway:
Corpus-Driven Terminology Development: Populating Swedish SNOMED CT with Synonyms Extracted from Electronic Health Records. BioNLP@ACL 2013: 36-44 - [c9]Eric-Oluf Svee, Maria Kvist, Sumithra Velupillai:
Capturing and Representing Values for Requirements of Personal Health Records. PoEM (Short Papers) 2013: 166-175 - [c8]Wendy Webber Chapman, Dieter Hillert, Sumithra Velupillai, Maria Kvist, Maria Skeppstedt, Brian E. Chapman, Mike Conway, Melissa Tharp, Danielle L. Mowery, Louise Deléger:
Extending the NegEx Lexicon for Multiple Languages. MedInfo 2013: 677-681 - [c7]Magnus Ahltorp, Maria Skeppstedt, Hercules Dalianis, Maria Kvist:
Using Text Prediction for Facilitating Input and Improving Readability of Clinical Text. MedInfo 2013: 1149 - [c6]Hideyuki Tanushi, Hercules Dalianis, Martin Duneld, Maria Kvist, Maria Skeppstedt, Sumithra Velupillai:
Negation Scope Delimitation in Clinical Text Using Three Approaches: NegEx; PyConTextNLP and SynNeg. NODALIDA 2013: 387-397 - 2012
- [c5]Sumithra Velupillai, Maria Kvist:
Fine-Grained Certainty Level Annotations Used for Coarser-Grained E-Health Scenarios - Certainty Classification of Diagnostic Statements in Swedish Clinical Text. CICLing (2) 2012: 450-461 - [c4]Niklas Isenius, Sumithra Velupillai, Maria Kvist:
Initial Results in the Development of SCAN A Swedish Clinical Abbreviation Normalizer. CLEF (Online Working Notes/Labs/Workshop) 2012 - [c3]Maria Skeppstedt, Maria Kvist, Hercules Dalianis:
Rule-based Entity Recognition and Coverage of SNOMED CT in Swedish Clinical Text. LREC 2012: 1250-1257 - 2011
- [c2]Aron Henriksson, Martin Hassel, Maria Kvist:
Diagnosis Code Assignment Support Using Random Indexing of Patient Records - A Qualitative Feasibility Study. AIME 2011: 348-352 - [c1]Sumithra Velupillai, Hercules Dalianis, Maria Kvist:
Factuality Levels of Diagnoses in Swedish Clinical Text. MIE 2011: 559-563
Coauthor Index
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