Publications Maria Kvist 

My research in the field of medical language technology and health informatics has resulted in thirtythree scientific articles, of which thirtythree are published in peer-reviewed publications.  I have also contributed with four shorter abstracts for medical conferences (refereed) and a debate article with presentation of survey results.

From previous research 1983-1991 (in my maiden name Sjölund): fifteen original articles in refereed international scientific journals in the subject area of Medical Cell Biology, as well as eight contributions to refereed scientific conferences.

Publication list

Aron Henriksson, Maria Kvist, Hercules Dalianis. 2017
Prevalence Estimation of Protected Health Information in Swedish Clinical Text . 
Studies in health technology and informatics

Sumithra Velupillai, Rebecka Weegar, Maria Kvist
Temporal Annotation of Swedish Intensive Care Notes
AMIA  Annual Symposium Proceedings 2016,
Accepted for publication

Gintare Grigonyte, Maria Kvist,  Mats Wirén, Sumithra Velupillai, and
Aron Henriksson. 2016
Swedification Patterns of Latin and Greek Prefixes and Suffixes in Swedish Medical Text.
Nordic Journal of Linguistics,  39, pp 5-37

Jing Zhao, Aron Henriksson, Maria Kvist, Lars Asker, Henrik Boström. 2015
Handling Temporality of Clinical Events for Drug Safety Surveillance.
AMIA  Annual Symposium Proceedings 2015, p 1371-1380

Rebecka Weegar, Maria Kvist, Karin Sundström, Søren Brunak, Hercules Dalianis. 2015
Finding Cervical Cancer Symptoms in Swedish Clinical Text using a Machine Learning Approach and NegEx.
AMIA  Annual Symposium Proceedings 2015, p 1295-1305

Aron Henriksson, Maria Kvist, Hercules Dalianis, Martin Duneld. 2015
Identifying Adverse Drug Event Information in Clinical Notes with Distributional Semantic Representations of Context.
Journal of Biomedical Informatics, 57, pp. 333-349
DOI: 10.1016/j.jbi.2015.08.013

Sumithra Velupillai, Danielle Mowery, Brett R South, Maria Kvist, Hercules Dalianis. 2015
Recent advances in clinical natural language processing in support of semantic analysis.
Yearb Med Inform, 2015 Aug 13;10(1):183-93
doi: 10.15265/IY-2015-009

Hercules Dalianis , Aron Henriksson , Maria Kvist , Sumithra Velupillai , Rebecka Weegar. 2015
HEALTH BANK–A Workbench for Data Science Applications in Healthcare.
Proceedings of CAISE 2015 Vol 1381 Industry Track

Claudia Ehrentraut, Maria Kvist, Elda Sparrelid and Hercules Dalianis. 2014.
Detecting Healthcare-Associated Infections in Electronic Health Records – Evaluation of Machine Learning and Preprocessing Techniques
The 6th International Symposium on Semantic Mining in Biomedicine (SMBM) 6th-7th October, Aveiro, Portugal. pp 3-10.

Maria Kvist & Sumithra Velupillai. 2014.
SCAN: A Swedish Clinical Abbreviation Normalizer. Further Development and Adaptation to Radiology.
Conference and Labs of the Evaluation Forum (CLEF 2014), Sheffield, UK, sept 2014.
Lecture Notes in Computer Science, 8685, 62-73.

Hideyuki Tanushi, Maria Kvist & Elda Sparrelid. 2014.
Detection of Healthcare-Associated Urinary Tract Infection in Swedish Electronic Health Records.
Studies in Health Technology and Informatics, vol 207, 330-339

Elin Lövestam, Sumithra Velupillai,  Maria Kvist. 2014
Abbreviations in Swedish Clinical Text – use by three professions.
Studies in Health Technology and Informatics, vol 205, 720-724

Kelly Smith, Beata Megyesi, Sumithra Velupillai, Maria Kvist. 2014.
Professional Language in Swedish Clinical Text – Linguistic Characterization and Comparative Studies.
Nordic Journal of Linguistics 37(2), 297-323

Gintare Grigonyte, Maria Kvist, Sumithra Velupillai, Mats Wirén. 2014.
Improving Readability of Swedish Electronic Health Records through Lexical Simplification: First Results.
Proc of the 3rd Workshop on Predicting and Improving Text Readability for Target Reader Populations (PITR 2014, EACL Workshop), p 74-83

Emil Abrahamsson, Timothy Forni, Maria Skeppstedt, Maria Kvist. 2014.
Medical text simplification using synonym replacement: Adapting assessment of word difficulty to a compounding language.
Proc of the 3rd Workshop on Predicting and Improving Text Readability for Target Reader Populations (PITR 2014, EACL Workshop), p 57-65

Lisa Tengstrand, Beata Megyesi, Aron Henriksson, Martin Duneld, Maria Kvist. 2014.
EACL – Expansion of Abbreviations in Clinical Text.
Proc of the 3rd Workshop on Predicting and Improving Text Readability for Target Reader Populations (PITR 2014, EACL Workshop), p 94-103

Maria Skeppstedt, Maria Kvist, Gunnar H Nilsson, Hercules Dalianis. 2014
Automatic recognition of disorders, findings, pharmaceuticals and body structures from clinical text: An annotation and machine learning study.
Journal of Biomedical Informatics, 49, p 148–158

Sumithra Velupillai, Maria Skeppstedt, Maria Kvist, Danielle Mowery, Brian E. Chapman, Hercules Dalianis and Wendy W. Chapman. 2014
Cue-based Assertion Classification for Swedish Clinical Text – Developing a Lexicon for
Artificial Intelligence in Medicine,  61, pp. 137-144

Gintare Grigonyte, Maria Kvist, Sumithra Velupillai, Mats Wirén. 2014
Spelling Variation of Latin and Greek words in Swedish Medical Text.
CILC2014 International Conference on Corpus Linguistics,  p 51-53

Eric-Oluf Svee, Maria Kvist and Sumithra Velupillai. 2013
Capturing and representing Values for requirements of personal health records.
Conf. on the Practice of Enterprise Modeling( PoEM2013). In: PoEM Short paper 2013, Ed. Grabis et al., vol 1023, p 166-175

Maria Kvist, Sumithra Velupillai. 2013
Professional Language in Swedish Radiology Reports – Characterization for Patient-Adapted Text Simplification.
Proc. of Scandinavian Conference on Health Informatics 2013, pp 55-60.

Wendy W. Chapman, Dieter Hilert, Sumithra Velupillai, Maria Kvist, Maria Skeppstedt, Brian E. Chapman, Michael Conway, Melissa Tharp, Danielle L. Mowery, and Louise Deleger. 2013
Extending the NegEx Lexicon for Multiple Languages.
Stud. in Health Technology and Informatics (MedInfo2013), vol 192:677-681

Magnus Ahltorp, Maria Skeppstedt, Hercules Dalianis, and Maria Kvist. 2013
Using text prediction for facilitating input and improving readability of clinical text.
Stud. in Health Technology and Informatics (MedInfo2013), vol 192:1149

Henriksson A, Skeppstedt M, Kvist M, Duneld M, and Conway M. 2013
Corpus-Driven Terminology Development: Populating Swedish SNOMED CT with Synonyms Extracted from Electronic Health Records.
Proc. 2013 Workshop on Biomedical Natural Language Processing (BioNLP 2013), pages 36–44.

Tanushi H, Skeppstedt M, Velupillai S, Kvist M, Hassel M, and Dalianis H. 2013
Negation Scope Determination in Clinical Text Using Three Approaches: NegEx, PyContextNLP and SynNeg.
The 19th Nordic Conference of Computational Linguistics (NODALIDA 2013). Linköping Electronic Conference Proceedings #85, pp 387 – 397

Sumithra Velupillai, Maria Skeppstedt, Maria Kvist, Danielle Mowery, Brian E. Chapman, Hercules Dalianis and Wendy W. Chapman. 2013
Porting a Rule-Based Assertion Classifier for Clinical Text from English to Swedish.
Louhi2013, 4th Int. Workshop on Health Document Text Mining and Information Analysis. Sydney feb 2013.

Sidrat ul Muntaha, Maria Skeppstedt, Maria Kvist and Hercules Dalianis. 2012
Automatic Rule Based Detection of Pharmaceutical Drugs in Swedish Clinical Text.
Proc. 4th Swedish Language Technology Conference SLTC-2012, pp. 77-78

Niklas Isenius, Sumithra Velupillai and Maria Kvist. 2012
Initial Results in the Development of SCAN: a Swedish Clinical Abbreviation Normalizer.
In: Proc CLEF 2012 Workshop on Cross-Language Evaluation of Methods, Applications, and Resources for eHealth Document Analysis (CLEFeHealth2012), Ed: H Suominen. Rome, Italy, 17–20 September 2012.

Aron Henriksson, Maria Kvist, Martin Hassel and Herculs Dalianis. 2012
Exploration of Adverse Drug Reactions in Semantic Vector Space Models of Clinical Text.
Proc of ICML Workshop on Machine Learning for Clinical Data Analysis 2012, Edinburgh. Scotland

Sumithra Velupillai and Maria Kvist. 2012
Fine-grained Certainty Level Annotations Used for Coarser-grained E-health Scenarios. Certainty Classification of Diagnostic Statements in Swedish Clinical Text.
In Proc 13th International Conference on Computational Linguistics and Intelligent Text Processing,  p 450-461

Maria Skeppstedt, Maria Kvist and Hercules Dalianis. 2012
Rule-based Entity Recognition and Coverage of SNOMED CT in Swedish Clinical Text.
Proc of  the eighth international conference on Language Resources and Evaluation, LREC2012, May 23-25, Istanbul, Turkey, pp 1250-1257.

Maria Kvist, Maria Skeppstedt, Sumithra Velupillai and Hercules Dalianis. 2011.
Modeling human comprehension of Swedish medical records for intelligent access and summarization systems – Future vision, a physician’s perspective.
Proc. 9th Scandinavian Conf. on Health Informatics, SHI2011, Oslo, Ed: Fensli and Dale, Tapir Academic Press, pp 31-35

Aron Henriksson, Martin Hassel and Maria Kvist. 2011
Diagnosis Code Assignment Support Using Random Indexing of Patient Records — A Qualitative Feasibility Study.
In Proc. of AIME’11, 13th Conf. on Artificial Intelligence in Medicine, Bled, Slovenia, pp. 348–352.

Sumithra Velupillai, Hercules Dalianis and Maria Kvist. 2011
Factuality levels of diagnoses in Swedish clinical text.
Stud Health Technol Inform 2011;169:559-63.

Abstract, Language technology at refereed Medical conferences:

Maria Kvist, Maria O’Donnell, Martin Duneld, Sumithra Velupillai.
The easy-to-read perspective on text simplification of radiology reports for the layman.
12th International Conference on Communication in Healthcare (ICCH), Amsterdam, September 28, 2014 – October 1, 2014

Sumithra Velupillai, Omran Ibrahim, Maria Kvist
Functions for Personal Health Records in Sweden – Patient Perspectives.
Proc. of Scandinavian Conference on Health Informatics 2013, p 95

Kirsi Aantaa, Camilla Wide, Maria Kvist, Sanna Salanterä. 2012
False Guesses and Frustration. Patients’ Understanding of Discharge Summaries.
International Conference on Communication in Healthcare (ICCH 2012), Sept. 2012, Scotland, UK

Maria Kvist, Sumithra Velupillai, Maria Skeppstedt och Hercules Dalianis. 2011.
Modeller för intelligent informationsåtkomst ur patientjournaler för automatisk textsammanfattning – preliminära resultat och framtida vision.
Svenska Läkaresällskapets Riksstämma, Stockholm, 2011.

Debate article:

Helen Allvin och Maria Kvist. 2011.
Lättillgängliga journaler – rättighet med problem?
Läkartidningen 108:6, s 256-257


Highlights, Medical Cell Biology 1983-1991:

Maria Sjölund – 1990
Ph. D. thesis, Karolinska Institutet
Autocrine Stimulation of Arterial Smooth Muscle Cells by Platelet-derived Growth Factor

Johan Thyberg, Ulf Hedin, Maria Sjölund, Lena Palmberg, Bradford A Bottger. 1990
Regulation of differentiated properties and proliferation of arterial smooth muscle cells.
Arteriosclerosis, Thrombosis, and Vascular Biology 10 (6), 966-990

Maria Sjölund, Ulf Hedin, Thomas Sejersen, Carl-Henrik Heldin, and Johan Thyberg. 1988
Arterial Smooth Muscle Cells Express Platelet-derived Growth Factor (PDGF) A Chain mRNA, Secrete a PDGF-like Mitogen, and Bind Exogenous PDGF in a Phenotype- and Growth State-dependent Manner.
The Journal of Cell Biology, Volume 106, pp 403-413

Thomas Sejersen, Christer Betsholtz, Maria Sjölund, Carl-Henrik Heldin, Bengt Westermark, and Johan Thyberg 1986
Rat skeletal myoblasts and arterial smooth muscle cells express the gene for the A chain but not the gene for the B chain (c-sis) of platelet-derived growth factor (PDGF) and produce a PDGF-like protein.
Proc. Nati. Acad. Sci. USA, Vol. 83, pp. 6844-6848.

Jan Nilsson, Maria Sjölund, Lena Palmberg, Johan Thyberg, and Carl-Henrik Heldin. 1985
Arterial smooth muscle cells in primary culture produce a platelet-derived growth factor-like protein.
Proc. Nati. Acad. Sci. USA, Vol. 82, pp. 4418-4422.