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2020 – today
- 2023
[c57]Jaya Chaturvedi
, Sumithra Velupillai, Robert Stewart, Angus Roberts:
Identifying Mentions of Pain in Mental Health Records Text: A Natural Language Processing Approach. MedInfo 2023: 695-699- [i7]Jaya Chaturvedi, Sumithra Velupillai, Robert Stewart, Angus Roberts:
Identifying Mentions of Pain in Mental Health Records Text: A Natural Language Processing Approach. CoRR abs/2304.01240 (2023) - [i6]Jaya Chaturvedi, Tao Wang, Sumithra Velupillai, Robert Stewart, Angus Roberts:
Development of a Knowledge Graph Embeddings Model for Pain. CoRR abs/2308.08904 (2023) - [i5]Jaya Chaturvedi, Diana Shamsutdinova, Felix Zimmer, Sumithra Velupillai, Daniel Stahl, Robert Stewart, Angus Roberts:
Sample Size in Natural Language Processing within Healthcare Research. CoRR abs/2309.02237 (2023) - 2022
- [j15]Zahra Mahabadi, Maryam Mahabadi, Sumithra Velupillai, Angus Roberts, Philip K. McGuire, Zina M. Ibrahim, Rashmi Patel:
Evaluating physical urban features in several mental illnesses using electronic health record data. Frontiers Digit. Health 4 (2022) - 2021
- [j14]Jaya Chaturvedi, Aurelie Mascio, Sumithra Velupillai, Angus Roberts:
Development of a Lexicon for Pain. Frontiers Digit. Health 3: 778305 (2021) - [c56]Mark Turner, Julia Ive, Sumithra Velupillai:
Linguistic Uncertainty in Clinical NLP: A Taxonomy, Dataset and Approach. CLEF 2021: 129-141 - 2020
- [j13]Natalia Viani, Joyce Kam, Lucia Yin, André Bittar, Rina Dutta, Rashmi Patel, Robert Stewart, Sumithra Velupillai:
Temporal information extraction from mental health records to identify duration of untreated psychosis. J. Biomed. Semant. 11(1): 2 (2020) - [j12]Liam Tollinton, Alexander M. Metcalf, Sumithra Velupillai:
Enhancing predictions of patient conveyance using emergency call handler free text notes for unconscious and fainting incidents reported to the London Ambulance Service. Int. J. Medical Informatics 141: 104179 (2020) - [j11]Julia Ive, Natalia Viani, Joyce Kam, Lucia Yin, Somain Verma, Stephen Puntis, Rudolf N. Cardinal, Angus Roberts, Robert Stewart, Sumithra Velupillai:
Generation and evaluation of artificial mental health records for Natural Language Processing. npj Digit. Medicine 3 (2020) - [c55]Louise Dupuis, Nicol Bergou, Hegler Tissot, Sumithra Velupillai:
Relative and Incomplete Time Expression Anchoring for Clinical Text. ClinicalNLP@EMNLP 2020: 117-129 - [c54]Zixu Wang, Julia Ive, Sinead Moylett, Christoph Mueller, Rudolf N. Cardinal, Sumithra Velupillai, John O'Brien, Robert Stewart:
Distinguishing between Dementia with Lewy bodies (DLB) and Alzheimer's Disease (AD) using Mental Health Records: a Classification Approach. ClinicalNLP@EMNLP 2020: 168-177 - [c53]Xingyi Song, Johnny Downs, Sumithra Velupillai, Rachel Holden, Maxim Kikoler, Kalina Bontcheva, Rina Dutta, Angus Roberts:
Using Deep Neural Networks with Intra- and Inter-Sentence Context to Classify Suicidal Behaviour. LREC 2020: 1303-1310 - [c52]Jaya Chaturvedi, Natalia Viani, Jyoti Sanyal, Chloe Tytherleigh, Idil Hasan, Kate Baird, Sumithra Velupillai, Robert Stewart, Angus Roberts:
Development of a Corpus Annotated with Medications and their Attributes in Psychiatric Health Records. LREC 2020: 2009-2016 - [c51]Ali Amin-Nejad, Julia Ive, Sumithra Velupillai:
Exploring Transformer Text Generation for Medical Dataset Augmentation. LREC 2020: 4699-4708 - [c50]Sonia Priou, Natalia Viani, Veshalee Vernugopan, Chloe Tytherleigh, Faduma Abdalla Hassan, Rina Dutta, Trudie Chalder, Sumithra Velupillai:
Clinical History Segment Extraction from Chronic Fatigue Syndrome Assessments to Model Disease Trajectories. MIE 2020: 98-102 - [i4]Sagar Joglekar, Sumithra Velupillai, Rina Dutta, Nishanth Sastry:
Analysing Meso and Macro conversation structures in an online suicide support forum. CoRR abs/2007.10159 (2020)
2010 – 2019
- 2019
- [j10]Andrea Andrenucci, Hercules Dalianis, Sumithra Velupillai:
Knowledge patterns for online health portal development. Health Informatics J. 25(4) (2019) - [c49]Natalia Viani, Rashmi Patel, Robert Stewart, Sumithra Velupillai:
Generating Positive Psychosis Symptom Keywords from Electronic Health Records. AIME 2019: 298-303 - [c48]Jessica D. Tenenbaum, Ramakanth Kavuluru, Thomas H. McCoy, Özlem Uzuner, Sumithra Velupillai:
Clinical Text Mining in Mental Health. AMIA 2019 - [c47]Natalia Viani, Hegler Tissot, Ariane Bernardino, Sumithra Velupillai:
Time Expression Annotation for Multiple Clinical Specialties. AMIA 2019 - [c46]Natalia Viani, Hegler Tissot, Ariane Bernardino, Sumithra Velupillai:
Annotating Temporal Information in Clinical Notes for Timeline Reconstruction: Towards the Definition of Calendar Expressions. BioNLP@ACL 2019: 201-210 - [c45]Zixu Wang, Julia Ive, Sumithra Velupillai, Lucia Specia:
Is artificial data useful for biomedical Natural Language Processing algorithms? BioNLP@ACL 2019: 240-249 - [c44]André Bittar, Sumithra Velupillai, Angus Roberts, Rina Dutta:
Text Classification to Inform Suicide Risk Assessment in Electronic Health Records. MedInfo 2019: 40-44 - [c43]Sumithra Velupillai, Sophie Epstein, André Bittar, Thomas Stephenson, Rina Dutta, Johnny Downs:
Identifying Suicidal Adolescents from Mental Health Records Using Natural Language Processing. MedInfo 2019: 413-417 - [c42]Natalia Viani, Joyce Kam, Lucia Yin, Somain Verma, Robert Stewart, Rashmi Patel, Sumithra Velupillai:
Annotating Temporal Relations to Determine the Onset of Psychosis Symptoms. MedInfo 2019: 418-422 - [i3]Zixu Wang, Julia Ive, Sumithra Velupillai, Lucia Specia:
Is artificial data useful for biomedical Natural Language Processing. CoRR abs/1907.01055 (2019) - 2018
- [j9]Aurélie Névéol, Hercules Dalianis, Sumithra Velupillai, Guergana Savova, Pierre Zweigenbaum:
Clinical Natural Language Processing in languages other than English: opportunities and challenges. J. Biomed. Semant. 9(1): 12:1-12:13 (2018) - [j8]Sumithra Velupillai, Hanna Suominen, Maria Liakata, Angus Roberts, Anoop D. Shah, Katherine Morley, David Osborn, Joseph Hayes, Robert Stewart, Johnny Downs, Wendy W. Chapman, Rina Dutta:
Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances. J. Biomed. Informatics 88: 11-19 (2018) - [c41]Julia Ive, George Gkotsis, Rina Dutta, Robert Stewart, Sumithra Velupillai:
Hierarchical neural model with attention mechanisms for the classification of social media text related to mental health. CLPsych@NAACL-HTL 2018: 69-77 - [c40]Natalia Viani, Lucia Yin, Joyce Kam, Ayunni Alawi, André Bittar, Rina Dutta, Rashmi Patel, Robert Stewart, Sumithra Velupillai:
Time Expressions in Mental Health Records for Symptom Onset Extraction. Louhi@EMNLP 2018: 183-192 - [c39]Julia Ive, Natalia Viani, David Chandran, André Bittar, Sumithra Velupillai:
KCL-Health-NLP@CLEF eHealth 2018 Task 1: ICD-10 Coding of French and Italian Death Certificates with Character-Level Convolutional Neural Networks. CLEF (Working Notes) 2018 - [i2]Richard G. Jackson, Rashmi Patel, Sumithra Velupillai, George Gkotsis, David Hoyle, Robert Stewart:
Knowledge discovery for Deep Phenotyping serious mental illness from Electronic Mental Health records. F1000Research 7: 210 (2018) - 2017
- [c38]Johnny Downs, Sumithra Velupillai, George Gkotsis, Rachel Holden, Maxim Kikoler, Harry Dean, Andrea Fernandes, Rina Dutta:
Detection of Suicidality in Adolescents with Autism Spectrum Disorders: Developing a Natural Language Processing Approach for Use in Electronic Health Records. AMIA 2017 - [c37]Aurélie Névéol, Noémie Elhadad, Sumithra Velupillai, Hua Xu, Guergana Savova:
Clinical Natural Language Processing in Languages Other Than English. AMIA 2017 - 2016
- [j7]Danielle L. Mowery, Brett R. South, Lee M. Christensen, Jianwei Leng, Laura-Maria Peltonen, Sanna Salanterä, Hanna Suominen, David Martínez, Sumithra Velupillai, Noémie Elhadad, Guergana Savova, Sameer Pradhan, Wendy W. Chapman:
Normalizing acronyms and abbreviations to aid patient understanding of clinical texts: ShARe/CLEF eHealth Challenge 2013, Task 2. J. Biomed. Semant. 7: 43 (2016) - [c36]Sumithra Velupillai, Rebecka Weegar, Maria Kvist:
Temporal Annotation of Swedish Intensive Care Notes. AMIA 2016 - [c35]Janani Kalyanam, Sumithra Velupillai, Mike Conway, Gert R. G. Lanckriet:
From event detection to storytelling on microblogs. ASONAM 2016: 437-442 - [c34]Sumithra Velupillai, Danielle L. Mowery, Mike Conway, John F. Hurdle, Brent Kious:
Vocabulary Development To Support Information Extraction of Substance Abuse from Psychiatry Notes. BioNLP@ACL 2016: 92-101 - [c33]George Gkotsis, Anika Oellrich, Tim J. P. Hubbard, Richard J. B. Dobson, Maria Liakata, Sumithra Velupillai, Rina Dutta:
The language of mental health problems in social media. CLPsych@HLT-NAACL 2016: 63-73 - [c32]George Gkotsis, Sumithra Velupillai, Anika Oellrich, Harry Dean, Maria Liakata, Rina Dutta:
Don't Let Notes Be Misunderstood: A Negation Detection Method for Assessing Risk of Suicide in Mental Health Records. CLPsych@HLT-NAACL 2016: 95-105 - [c31]Abdulrahman Al Abdulsalam, Sumithra Velupillai, Stéphane M. Meystre:
UtahBMI at SemEval-2016 Task 12: Extracting Temporal Information from Clinical Text. SemEval@NAACL-HLT 2016: 1256-1262 - 2015
- [j6]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) - [c30]Sumithra Velupillai, Danielle L. Mowery, Samir E. AbdelRahman, Lee M. Christensen, Wendy W. Chapman:
Towards a Generalizable Time Expression Model for Temporal Reasoning in Clinical Notes. AMIA 2015 - [c29]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 - [c28]Sumithra Velupillai, Danielle L. Mowery, Samir E. AbdelRahman, Lee M. Christensen, Wendy W. Chapman:
BluLab: Temporal Information Extraction for the 2015 Clinical TempEval Challenge. SemEval@NAACL-HLT 2015: 815-819 - [i1]Janani Kalyanam, Sumithra Velupillai, Son Doan, Mike Conway, Gert R. G. Lanckriet:
Facts and Fabrications about Ebola: A Twitter Based Study. CoRR abs/1508.02079 (2015) - 2014
- [j5]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) - [c27]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 - [c26]Sumithra Velupillai, Danielle L. Mowery, Lee M. Christensen, Noemie Elhadad, Sameer Pradhan, Guergana K. Savova, Wendy W. Chapman:
Disease/Disorder Semantic Template Filling - Information Extraction Challenge in the ShARe/CLEF eHealth Evaluation Lab 2014. AMIA 2014 - [c25]Danielle L. Mowery, Mindy K. Ross, Sumithra Velupillai, Stéphane M. Meystre, Janyce Wiebe, Wendy W. Chapman:
Generating Patient Problem Lists from the ShARe Corpus using SNOMED CT/SNOMED CT CORE Problem List. BioNLP@ACL 2014: 54-58 - [c24]Sumithra Velupillai:
Temporal Expressions in Swedish Medical Text - A Pilot Study. BioNLP@ACL 2014: 88-92 - [c23]Danielle L. Mowery, Sumithra Velupillai, Brett R. South, Lee M. Christensen, David Martínez, Liadh Kelly, Lorraine Goeuriot, Noémie Elhadad, Sameer Pradhan, Guergana K. Savova, Wendy W. Chapman:
Task 2: ShARe/CLEF eHealth Evaluation Lab 2014. CLEF (Working Notes) 2014: 31-42 - [c22]Maria Kvist, Sumithra Velupillai:
SCAN: A Swedish Clinical Abbreviation Normalizer - Further Development and Adaptation to Radiology. CLEF 2014: 62-73 - [c21]Liadh Kelly, Lorraine Goeuriot, Hanna Suominen, Tobias Schreck, Gondy Leroy, Danielle L. Mowery, Sumithra Velupillai, Wendy W. Chapman, David Martínez, Guido Zuccon, João R. M. Palotti:
Overview of the ShARe/CLEF eHealth Evaluation Lab 2014. CLEF 2014: 172-191 - [c20]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
- [c19]Hanna Suominen, Sanna Salanterä, Sumithra Velupillai, Wendy Webber Chapman, Guergana K. Savova, Noemie Elhadad, Sameer Pradhan, Brett R. South, Danielle L. Mowery, Gareth J. F. Jones, Johannes Leveling, Liadh Kelly, Lorraine Goeuriot, David Martínez, Guido Zuccon:
Overview of the ShARe/CLEF eHealth Evaluation Lab 2013. CLEF 2013: 212-231 - [c18]Eric-Oluf Svee, Maria Kvist, Sumithra Velupillai:
Capturing and Representing Values for Requirements of Personal Health Records. PoEM (Short Papers) 2013: 166-175 - [c17]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 - [c16]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
- [b1]Sumithra Velupillai:
Shades of Certainty: Annotation and Classification of Swedish Medical Records. Stockholm University, Sweden, 2012 - [c15]Danielle L. Mowery, Sumithra Velupillai, Wendy W. Chapman:
Medical diagnosis lost in translation - Analysis of uncertainty and negation expressions in English and Swedish clinical texts. BioNLP@HLT-NAACL 2012: 56-64 - [c14]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 - [c13]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 - 2011
- [j4]Hercules Dalianis, Martin Hassel, Sumithra Velupillai:
Louhi 2010: Special issue on Text and Data Mining of Health Documents. J. Biomed. Semant. 2(S-3): I1 (2011) - [j3]Helen Allvin, Elin Carlsson, Hercules Dalianis, Riitta Danielsson-Ojala, Vidas Daudaravicius, Martin Hassel, Dimitrios Kokkinakis, Heljä Lundgrén-Laine, Gunnar H. Nilsson, Øystein Nytrø, Sanna Salanterä, Maria Skeppstedt, Hanna Suominen, Sumithra Velupillai:
Characteristics of Finnish and Swedish intensive care nursing narratives: a comparative analysis to support the development of clinical language technologies. J. Biomed. Semant. 2(S-3): S1 (2011) - [c12]Sumithra Velupillai, Hercules Dalianis, Maria Kvist:
Factuality Levels of Diagnoses in Swedish Clinical Text. MIE 2011: 559-563 - [c11]Martin Duneld, Aron Henriksson, Sumithra Velupillai:
Something Old, Something New - Applying a Pre-trained Parsing Model to Clinical Swedish. NODALIDA 2011: 287-290 - 2010
- [j2]Hercules Dalianis, Sumithra Velupillai:
De-identifying Swedish clinical text - refinement of a gold standard and experiments with Conditional random fields. J. Biomed. Semant. 1: 6 (2010) - [c10]Sumithra Velupillai:
Towards a better understanding of uncertainties and speculations in Swedish clinical text - Analysis of an initial annotation trial. NeSp-NLP@ACL 2010: 14-22 - [c9]Aron Henriksson, Sumithra Velupillai:
Levels of certainty in knowledge-intensive corpora: an initial annotation study. NeSp-NLP@ACL 2010: 41-45 - [c8]Helen Allvin, Elin Carlsson, Hercules Dalianis, Riitta Danielsson-Ojala, Vidas Daudaravicius, Martin Hassel, Dimitrios Kokkinakis, Heljä Lundgrén-Laine, Gunnar H. Nilsson, Øystein Nytrø, Sanna Salanterä, Maria Skeppstedt, Hanna Suominen, Sumithra Velupillai:
Characteristics and Analysis of Finnish and Swedish Clinical Intensive Care Nursing Narratives. Louhi@NAACL-HLT 2010: 53-60 - [c7]Sumithra Velupillai:
Semantic annotations in clinical documentation: exploring potentials for future information retrieval. ESAIR 2010: 9-10 - [c6]Oscar Täckström, Sumithra Velupillai, Martin Hassel, Gunnar Eriksson, Hercules Dalianis, Jussi Karlgren:
Uncertainty Detection as Approximate Max-Margin Sequence Labelling. CoNLL Shared Task 2010: 84-91 - [c5]Hercules Dalianis, Sumithra Velupillai:
How Certain are Clinical Assessments? Annotating Swedish Clinical Text for (Un)certainties, Speculations and Negations. LREC 2010
2000 – 2009
- 2009
- [j1]Sumithra Velupillai, Hercules Dalianis, Martin Hassel, Gunnar H. Nilsson:
Developing a standard for de-identifying electronic patient records written in Swedish: Precision, recall and F-measure in a manual and computerized annotation trial. Int. J. Medical Informatics 78(12): 19-26 (2009) - [c4]Hercules Dalianis, Gunnar H. Nilsson, Sumithra Velupillai:
Is De-identification of Electronic Health Records Possible? OR Can We Use Health Record Corpora for Research? AAAI Fall Symposium: Virtual Healthcare Interaction 2009 - 2008
- [c3]Yvonne Samuelsson, Oscar Täckström, Sumithra Velupillai, Johan Eklund, Mark Fishel, Markus Saers:
Mixing and Blending Syntactic and Semantic Dependencies. CoNLL 2008: 248-252 - [c2]Magnus Rosell, Sumithra Velupillai:
Revealing Relations between Open and Closed Answers in Questionnaires through Text Clustering Evaluation. LREC 2008 - 2005
- [c1]Magnus Rosell, Sumithra Velupillai:
The impact of phrases in document clustering for Swedish. NODALIDA 2005: 173-179
Coauthor Index
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