King's College London

Research portal

Dr Sumithra Velupillai

  1. Clinical History Segment Extraction from Chronic Fatigue Syndrome Assessments to Model Disease Trajectories

    Priou, S., Viani, N., Vernugopan, V., Tytherleigh, C., Hassan, F. A., Dutta, R., Chalder, T. & Velupillai, S., 16 Jun 2020, In : STUDIES IN HEALTH TECHNOLOGY AND INFORMATICS. 270, p. 98-102 5 p.

    Research output: Contribution to journalArticle

  2. Accepted/In press
  3. Using Deep Neural Networks with Intra- and Inter-Sentence Context to Classify Suicidal Behaviour

    Song, X., Downs, J., Velupillai, S., Holden, R., Kikoler, M., Bontcheva, K., Dutta, R. & Roberts, A., 15 May 2020, In : Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC 2020) . 1296–1303, p. 1296–1303 8 p.

    Research output: Contribution to journalArticle

  4. Generation and evaluation of artificial mental health records for Natural Language Processing

    Ive, J., Viani, N., Kam, J., Yin, L., Verma, S., Puntis, S., Cardinal, R., Roberts, A., Stewart, R. & Velupillai, S., 14 May 2020, In : npj Digital Medicine.

    Research output: Contribution to journalArticle

  5. Accepted/In press
  6. Accepted/In press
  7. Accepted/In press

    Clinical history segment extraction from chronic fatigue syndrome assessments to model disease trajectories

    Priou, S., Viani, N., Vernugopan, V., Tytherleigh, C., Hassan, F. A., Dutta, R., Chalder, T. & Velupillai, S., 19 Dec 2019, (Accepted/In press) Studies in Health Technology and Informatics. IOS Press

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  8. Annotating Temporal Relations to Determine the Onset of Psychosis Symptoms

    Viani, N., Kam, J., Yin, L., Verma, S., Stewart, R. J., Patel, R. & Velupillai, S. U., 21 Aug 2019, MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. Seroussi, B., Ohno-Machado, L., Ohno-Machado, L. & Seroussi, B. (eds.). p. 418-422 5 p. (Studies in Health Technology and Informatics; vol. 264).

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  9. Text Classification to Inform Suicide Risk Assessment in Electronic Health Records

    Bittar, A. L., Velupillai, S. U., Roberts, A. & Dutta, R., 21 Aug 2019, Studies in Health Technology and Informatics. Vol. 264. p. 40-44 5 p.

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  10. Annotating Temporal Information in Clinical Notes for Timeline Reconstruction: Towards the Definition of Calendar Expressions

    Viani, N., Tissot, H., Bernardino, A. & Velupillai, S. U., 1 Aug 2019, Proceedings of the BioNLP 2019 workshop. p. 201-210

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  11. Generating Positive Psychosis Symptom Keywords from Electronic Health Records

    Viani, N., Patel, R., Stewart, R. & Velupillai, S., 30 May 2019, Artificial Intelligence in Medicine: 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Poznan, Poland, June 26–29, 2019, Proceedings. Riaño, D., Wilk, S. & ten Teije, A. (eds.). p. 298-303 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11526 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  12. Accepted/In press

    Identifying Suicidal Adolescents from Mental Health Records using Natural Language Processing

    Velupillai, S. U., Epstein, S., Bittar, A. L., Stephenson, T., Dutta, R. & Downs, J. M., 27 Apr 2019, (Accepted/In press) Proceedings of MEDINFO 2019.

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  13. Risk Assessment Tools and Data-driven Approaches for Predicting and Preventing Suicidal Behaviour

    Velupillai, S., Hadlaczky, G., Baca-Garcia, E., Gorrell, G., Werbeloff, N., Nguyen, D., Patel, R., Leightley, D., Downs, J., Hotopf, M. & Dutta, R., 13 Feb 2019, In : Frontiers in psychiatry / Frontiers Research Foundation. 10, FEB, p. 36 36.

    Research output: Contribution to journalReview article

  14. Using Clinical Natural Language Processing for Health Outcomes Research: Overview and Actionable Suggestions for Future Advances

    Velupillai, S., Suominen, H., Liakata, M., Roberts, A., Shah, A. D., Morley, K., Osborn, D., Hayes, J. F., Stewart, R., Downs, J., Chapman, W. & Dutta, R., Dec 2018, In : JOURNAL OF BIOMEDICAL INFORMATICS. 88, p. 11-19

    Research output: Contribution to journalArticle

  15. Detection of Suicidality in Adolescents with Autism Spectrum Disorders: Developing a Natural Language Processing Approach for Use in Electronic Health Records

    Downs, J., Velupillai, S., Gkotsis, G., Holden, R., Kikoler, M., Dean, H., Fernandes, A. & Dutta, R., 16 Apr 2018, In : Proceedings / AMIA. 2017, eCollection 2017, p. 641-649 9 p.

    Research output: Contribution to journalArticle

  16. Clinical Natural Language Processing in languages other than English: Opportunities and challenges

    Névéol, A., Dalianis, H., Velupillai, S., Savova, G. & Zweigenbaum, P., 30 Mar 2018, In : Journal of biomedical semantics. 9, 1, 12.

    Research output: Contribution to journalReview article

  17. Accepted/In press

    Knowledge patterns for online health portal development

    Andrenucci, A., Dalianis, H. & Velupillai, S., 1 Jan 2018, (Accepted/In press) In : Health Informatics Journal.

    Research output: Contribution to journalArticle

  18. From event detection to storytelling on microblogs

    Kalyanam, J., Velupillai, S., Conway, M. & Lanckriet, G., 21 Nov 2016, Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016. Kumar, R., Caverlee, J. & Tong, H. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 437-442 6 p. 7752271

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  19. Vocabulary Development To Support Information Extraction of Substance Abuse from Psychiatry Notes

    Velupillai, S., Mowery, D. L., Conway, M., Hurdle, J. & Kious, B., 1 Aug 2016, Proceedings of the 15th Workshop on Biomedical Natural Language Processing. Berlin, Germany: Association for Computational Linguistics, p. 92-101 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  20. Normalizing acronyms and abbreviations to aid patient understanding of clinical texts: ShARe/CLEF eHealth Challenge 2013, Task 2

    Mowery, D. L., South, B. R., Christensen, L., Leng, J., Peltonen, L-M., Salanterä, S., Suominen, H., Martinez, D., Velupillai, S., Elhadad, N., Savova, G., Pradhan, S. & Chapman, W. W., 1 Jul 2016, In : Journal of biomedical semantics. 7, 1, 43.

    Research output: Contribution to journalArticle

  21. Swedification patterns of Latin and Greek affixes in clinical text

    Grigonyte, G., Kvist, M., Wirén, M., Velupillai, S. & Henriksson, A., May 2016, In : Nordic Journal of Linguistics. 39, 1, p. 5-37 33 p.

    Research output: Contribution to journalArticle

  22. UtahBMI at SemEval-2016 task 12: Extracting temporal information from clinical text

    Khalifa, A., Velupillai, S. & Meystre, S., 1 Jan 2016, SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings. Association for Computational Linguistics (ACL), p. 1256-1262 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  23. Recent Advances in Clinical Natural Language Processing in Support of Semantic Analysis

    Velupillai, S., Mowery, D., South, B. R., Kvist, M. & Dalianis, H., 13 Aug 2015, In : Yearbook of medical informatics. 10, 1, p. 183-193 11 p.

    Research output: Contribution to journalArticle

  24. Louhi 2014: Special issue on health text mining and information analysis

    Velupillai, S., Duneld, M., Henriksson, A., Kvist, M., Skeppstedt, M. & Dalianis, H., 15 Jun 2015, In : BMC medical informatics and decision making. 15, 2, S1.

    Research output: Contribution to journalArticle

  25. HEALTH BANK - A workbench for data science applications in healthcare

    Dalianis, H., Henriksson, A., Kvist, M., Velupillai, S. & Weegar, R., 2015, In : CEUR Workshop Proceedings. 18 p.

    Research output: Contribution to journalConference paper

  26. Towards a Generalizable Time Expression Model for Temporal Reasoning in Clinical Notes

    Velupillai, S., Mowery, D. L., Abdelrahman, S., Christensen, L. & Chapman, W. W., 2015, In : AMIA ... Annual Symposium proceedings. AMIA Symposium. 2015, p. 1252-1259 8 p.

    Research output: Contribution to journalArticle

  27. Professional language in Swedish clinical text: Linguistic characterization and comparative studies

    Smith, K., Megyesi, B., Velupillai, S. & Kvist, M., Oct 2014, In : Nordic Journal of Linguistics. 37, 2, p. 297-323 27 p.

    Research output: Contribution to journalArticle

  28. Cue-based assertion classification for Swedish clinical text-Developing a lexicon for pyConTextSwe

    Velupillai, S., Skeppstedt, M., Kvist, M., Mowery, D., Chapman, B. E., Dalianis, H. & Chapman, W. W., Jul 2014, In : Artificial Intelligence in Medicine. 61, 3, p. 137-144 8 p.

    Research output: Contribution to journalArticle

  29. Abbreviations in Swedish Clinical Text-use by three professions

    Lövestam, E., Velupillai, S. & Kvist, M., 2014, Volume 205: e-Health – For Continuity of Care. Vol. 205. p. 720-724 5 p. (Studies in Health Technology and Informatics).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  30. Overview of the ShARe/CLEF eHealth evaluation lab 2014

    Kelly, L., Goeuriot, L., Suominen, H., Schreck, T., Leroy, G., Mowery, D. L., Velupillai, S., Chapman, W. W., Martinez, D., Zuccon, G. & Palotti, J., 2014, Lecture Notes in Computer Science. Vol. 8685 LNCS. 20 p. (LNCS; vol. 8685).

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  31. SCAN: A Swedish clinical abbreviation normalizer - Further development and adaptation to radiology

    Kvist, M. & Velupillai, S., 2014, Lecture Notes in Computer Science . Vol. 8685. 12 p.

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  32. Task 2: ShARe/CLEF eHealth evaluation lab 2014

    Mowery, D. L., Velupillai, S., South, B. R., Christensen, L., Martinez, D., Kelly, L., Goeuriot, L., Elhadad, N., Pradhan, S., Savova, G. & Chapman, W. W., 2014, In : CEUR Workshop Proceedings. p. 31-42 12 p.

    Research output: Contribution to journalConference paper

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