Closed wanghaisheng closed 9 years ago
http://people.dsv.su.se/~hercules/HDpublications.html 机器学习与非结构化电子病历
Névéol A., H. Dalianis, G. Savova and P. Zweigenbaum. 2014. Didactic Panel: Clinical Natural Language Processing in Languages Other Than English, Proceedings AMIA Annual Symposium 2014, November 15 - 19, 2014, Washington Hilton, Washington DC.
Nizamuddin N. and H. Dalianis. 2014. Detection of Spelling Errors in Swedish Clinical Text, 1st Nordic workshop on evaluation of spellchecking and proofing tools (NorWEST2014), SLTC 2014, Uppsala, pdf.
Dalianis, H. 2014. Clinical text retrieval - an overview of basic building blocks and applications, Book chapter in Professional Search in the Modern World, Paltoglou, G., Loizides, F., Hansen, P. (Eds.), Springer Verlag, Lecture Notes in Computer Science, Vol. 8830, pp. 147-165, [book in pdf](http://link.springer.com/content/pdf/10.1007%2F978-3-319-12511-4.pdf).
Ehrentraut, C., Kvist, M., Sparrelid, M. and Dalianis, H. 2014. Detecting Healthcare-Associated Infections in Electronic Health Records - Evaluation of Machine Learning and Preprocessing Techniques, in the [Proceedings](http://www.zora.uzh.ch/98982/1/Proceedings-SMBM14.pdf) of the 6th International Symposium on Semantic Mining in Biomedicine (SMBM 2014). Bodenreider, O., Oliveira, J.L., Rinaldi, F. (Eds.), Aveiro, Portugal,
Skeppstedt, M., M. Kvist, H. Dalianis and Nilsson, G.H. 2014. Automatic recognition of disorders, findings, pharmaceuticals and body structures from clinical text: An annotation and machine learning study. Journal of Biomedical Informatics, DOI: 10.1016/j.jbi.2014.01.012, [pdf](http://www.sciencedirect.com/science/article/pii/S1532046414000148).
Velupillai, S., M. Skeppstedt, M. Kvist, D. Mowery, B. Chapman, H. Dalianis and W. Chapman. 2014. Cue-based assertion classification for Swedish clinical text - developing a lexicon for pyConTextSwe. Special issue: Text Mining and Information Analysis. Artificial Intelligence In Medicine. DOI: 10.1016/j.artmed.2014.01.001. [pdf](http://authors.elsevier.com/sd/article/S0933365714000037).
Meystre, S. M., H. Dalianis, J. Aberdeen and B. Malin. 2013. Automatic clinical text de-identification: is it worth it, and could it work for me? Studies in health technology and informatics, Vol 192, pp 1242, Panel, Medinfo 2013, Copenhagen, Aug 20-23, 2013, [pdf](http://people.dsv.su.se/~hercules/papers/Meystre-et-al-Deid-Panel-Medinfo2013-v3.pdf).
Ahltorp, M., M. Skeppstedt, H. Dalianis and M. Kvist. 2013. Using text prediction for facilitating input and improving readability of clinical text. Studies in health technology and informatics, Vol 192, Medinfo 2013, Copenhagen, Aug 20-23, 2013, pp 1149. DOI 10.3233/978-1-61499-289-9-1149, [abstract](http://ebooks.iospress.nl/publication/34365).
Tanushi, H., H. Dalianis, M. Duneld, M. Kvist, M. Skeppstedt and S. Velupillai. 2013. Negation Scope Delimitation in Clinical Text Using Three Approaches: NegEx, PyConTextNLP and SynNeg. In Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013) NEALT Proceedings Series 16, Oslo, Norway, [pdf](http://www.ep.liu.se/ecp/085/035/ecp1385035.pdf).
Velupillai, S., M. Skeppstedt, M. Kvist, D. Mowery, B. Chapman and H. Dalianis and Wendy Chapman. 2013. Porting a Rule-based Assertion Classier for Clinical Text from English to Swedish, in the Proceedings of Louhi 2013: The 4th International Louhi Workshop on Health Document Text Mining and Information Analysis, February 11-12, 2013, Sydney, Australia, [pdf](http://nicta.com.au/__data/assets/pdf_file/0009/37656/louhi2013_submission_7.pdf).
Ehrentraut, C, H. Tanushi, H. Dalianis and J. Tiedemann. 2012. Detection of Hospital Acquired Infections in sparse and noisy Swedish patient records. A machine learning approach using Naïve Bayes, Support Vector Machines and C4.5. In the Proceedings of the Sixth Workshop on Analytics for Noisy Unstructured Text Data, AND, December 9, 2012 held in conjunction with Coling 2012, Bombay, [pdf](http://people.dsv.su.se/~hercules/papers/Ehrentraut-et-al-Detect-HAI-final-AND-Coling-2012.pdf).
ul Muntaha, S, M. Skeppstedt, M. Kvist and H Dalianis. 2012. Entity Recognition of Pharmaceutical Drugs in Swedish Clinical Text. Proceedings of the Fourth Swedish Language Technology Conference, (SLTC-2012), Lund, Sweden, October 25-26, 2012, pp. 77-78, [pdf](http://people.dsv.su.se/~hercules/papers/ul_Muntaha_et_al_2012_Entity_Recognition_of_Pharmaceutical_Drugs_in_Swedish_Clinical_Text.pdf).
Dalianis, H, M. Hassel, A. Henriksson and M. Skeppstedt. 2012. Stockholm EPR Corpus: A Clinical Database Used to Improve Health Care. Proceedings of the Fourth Swedish Language Technology Conference, (SLTC-2012), Lund, Sweden, October 25-26, 2012, pp. 17-18, [pdf](http://people.dsv.su.se/~hercules/papers/Dalianis_et_al_2012_Stockholm_EPR_Corpus-A_Clinical_Database_Used_to_Improve_Health_Care.pdf).
Skeppstedt, M. and H. Dalianis. 2012. Using active learning and pre-tagging for annotating clinical findings in health record text. Proceedings of the Fifth International Symposium on Semantic Mining in Biomedicine (SMBM 2012), Zürich, Switzerland, September 3-4, 2012, pp. 98-99, [pdf](http://www.zora.uzh.ch/64476/19/14_Using_active_learning_and_pre%2Dtagging_for_annotating_clinical_findings_in_health_record_text.pdf).
Kanhov, M., X. Feng and H. Dalianis. 2012. Natural Language Generation from SNOMED Specification, In the Proceedings of CLEF 2012 Workshop on Cross-Language Evaluation of Methods, Applications, and Resources for eHealth Document Analysis (CLEFeHealth2012), Rome, September 17-18. 2012, [pdf](http://nicta.com.au/__data/assets/pdf_file/0017/36080/Kanhov_CLEFeHealth2012_Generation.pdf).
Boström, H. and H. Dalianis. 2012. De-identifying health records by means of active learning. In Proceedings of ICML Workshop on Machine Learning for Clinical Data Analysis, Edinburgh, UK, [pdf](http://www.cs.pitt.edu/~milos/icml_clinicaldata_2012/Papers/Poster_Bostrom_elal_ICML_Clinical_2012.pdf).
Henriksson, A., M. Kvist, M. Hassel and H. Dalianis. 2012. Exploration of Adverse Drug Reactions in Semantic Vector Space Models of Clinical Text. In Proceedings of ICML Workshop on Machine Learning for Clinical Data Analysis, Edinburgh, UK, [pdf](http://www.cs.pitt.edu/~milos/icml_clinicaldata_2012/Papers/Poster_Henriksson_elal_ICML_Clinical_2012.pdf).
Alfalahi, A., S. Brissman and H. Dalianis. 2012. Pseudonymisation of person names and other PHIs in an annotated clinical Swedish corpus. In the Proceedings of the Third Workshop on Building and Evaluating Resources for Biomedical Text Mining (BioTxtM 2012) held in conjunction with LREC 2012, May 26, Istanbul, pp 49-54, [pdf](http://people.dsv.su.se/~hercules/papers/Alfalahi_et_al_2012_Pseudonymisation_of_person_names_and_other_PHIs_in_an_annotated_clinical_Swedish_corpus.pdf).
Dalianis H. and H. Boström. 2012. Releasing a Swedish clinical corpus after removing all words - de-identification experiments with conditional random fields and random forests. In the Proceedings of the Third Workshop on Building and Evaluating Resources for Biomedical Text Mining (BioTxtM 2012) held in conjunction with LREC 2012, May 26, Istanbul, pp 45-48, [pdf](http://people.dsv.su.se/~hercules/papers/Dalianis_and_Bostrom_2012_Releasing_a_Swedish_clinical_corpus_after_removing_all_words-de-identification_experiments_with_conditional_random_fields_and_random_forests.pdf).
Skeppstedt, M., M. Kvist and H. Dalianis. 2012. Rule-based Entity Recognition and Coverage of SNOMED CT in Swedish Clinical Text. In the Proceedings of the Eighth International Conference on Language Resources and Evaluation, LREC 2012, May 23-25, Istanbul, pp 1250-1257, [pdf](http://www.lrec-conf.org/proceedings/lrec2012/pdf/521_Paper.pdf).
Cerratto-Pargman, T., O. Knutsson, E. Celikten, E. Sneiders and H. Dalianis, 2012. User centered development of automatic e-mail answering for the public sector. In Human-Computer Interaction, Tourism and Cultural Heritage, Lecture Notes in Computer Science, Berlin Heidelberg, Volume 7546, 2012, pp 154-156, [ pdf.](https://daisy.dsv.su.se/fil/visa?id=90927)
Velupillai, S., H. Dalianis and M. Kvist. 2011. Factuality levels of diagnoses in Swedish medical text. MIE 2011, In User Centred Networked Health Care, A. Moen et al. (Eds.) IOS Press, 2011, European Federation for Medical Informatics, doi:10.3233/978-1-60750-806-9-559, pp 559-563, [pdf](http://people.dsv.su.se/~hercules/papers/Velupillai_et_al_2011_Factuality_Levels_of_Diagnoses_in_Swedish_Clinical_Text.pdf).
Skeppstedt M. and H. Dalianis. 2011. Using SNOMED CT for High Precision Entity Recognition in Swedish Clinical text, poster, MIE 2011, poster, In User Centred Networked Health Care, A. Moen et al. (Eds.) IOS Press, 2011, [pdf](http://people.dsv.su.se/~hercules/papers/Skeppstedt_and_Dalianis_2011_Using_SNOMED_CT_for_High_Precision_Entity_Recognition_in_Swedish_Clinical_text.pdf).
Kvist M., M. Skeppstedt, S. Velupillai and H. Dalianis. 2011. Modeling human comprehension of Swedish medical records for intelligent access and summarization systems, a physician's perspective. In the Proceedings of 9th Scandinavian Conference on Health Informatics, SHI 2011, [pdf](http://people.dsv.su.se/~hercules/papers/Kvist_et_al_2011_Modeling_human_comprehension_of_Swedish_medical_records_for_intelligent_access_and_summarization_systems_Future_vision_a_physicians_perspective.pdf).
Skeppstedt, M., H. Dalianis and G.H. Nilsson. 2011. Retrieving disorders and findings: Results using SNOMED CT and NegEx adapted for Swedish, In the Proceedings of the LOUHI 2011, Third International Workshop on Health Document Text Mining and Information Analysis, Co-located with AIME 2011 Bled, Slovenia, July 6, 2011, CEUR-WS, volume 744, ISSN: 1613-0073, pp 11-17, [pdf](http://people.dsv.su.se/~hercules/papers/Skeppstedt_et_al_2011-Louhi_Retrieving_disorders_and_findings.pdf).
Tanushi, H., H. Dalianis and G.H. Nilsson. 2011. Calculating Prevalence of Comorbidity and Comorbidity Combinations with Diabetes in Hospital Care in Sweden Using a Health Care Record Database, In the Proceedings of the LOUHI 2011, Third International Workshop on Health Document Text Mining and Information Analysis, Co-located with AIME 2011 Bled, Slovenia, July 6, 2011, CEUR-WS, volume 744, ISSN: 1613-0073, pp 59-66, [pdf](http://people.dsv.su.se/~hercules/papers/Tanushi_et_al_2011-Louhi_Calculating_Prevalence_of_Comorbidity.pdf).
Allvin H., E. Carlsson, H. Dalianis, R. Danielsson-Ojala, V. Daudaravicius, M. Hassel, D. Kokkinakis, H. Lundgren-Laine, G.H. Nilsson, Ø. Nytrø, S. Salanterä, M. Skeppstedt, H. Suominen and S. Velupillai. 2011. Characteristics of Finnish and Swedish intensive care nursing narratives: a comparative analysis to support the development of clinical language technologies. Journal of Biomedical Semantics 2011, 2(Suppl 3):S1, doi:10.1186/2041-1480-2-S3-S1, [pdf](http://www.jbiomedsem.com/content/pdf/2041-1480-2-S3-S1.pdf).
Dalianis, H., J. Sjöbergh and E. Sneiders. 2011. Comparing Manual Text Patterns and Machine Learning for Classification of E-Mails for Automatic Answering by a Government Agency, 12th International Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2011, February 20-26, Tokyo, Japan, In Computational Linguistics and Intelligent Text Processing, Lecture Notes in Computer Science, 2011, Volume 6609/2011, Springer-Verlag Berlin Heidelberg, DOI: 10.1007/978-3-642-19437-5_19, pp 234-243 [pdf](http://people.dsv.su.se/~hercules/papers/Dalianis_et_al_CICLing-2011_Comparing-Text_Patterns-and-ML-E-mails-in-E-gov.pdf)
Hassel, M. and H. Dalianis. 2011. Portable Text Summarization. In McCarthy & Boonthum-Denecke, editors, Applied Natural Language Processing: Identification, Investigation, Resolution, IGI Global, USA. [Title details](http://www.igi-global.com/book/applied-natural-language-processing/49572)
Knutsson, O., T. Cerratto Pargman, H. Dalianis, M. Rosell and E. Sneiders. 2010. Increasing the efficiency and quality of e-mail communication in egovernment using language technology. In the Proceedings of Electronic Government and Electronic Participation - Joint Proceedings of Ongoing Research and Projects of IFIP EGOV and ePart 2010, J-L Chappelet, O. Glassey, M. Janssen, A. Macintosh, J. Scholl, E. Tambouris and M. A. Wimmer (eds), Lausanne, Switzerland, Trauner Verlag, August 29 - September 2, 2010, pp 45-52, [pdf](http://people.dsv.su.se/~hercules/papers/Final-knutsson_pargman_dalianis_rosell_sneiders)
Dalianis, H., M. Rosell and E. Sneiders. 2010. Clustering E-Mails for the Swedish Social Insurance Agency - What Part of the E-Mail Thread Gives the Best Quality? H. Loftsson, E. Rögnvaldsson, S. Helgadóttir (eds.): In the Proceedings of IceTAL 2010 (the 7th International Conference on Natural Language Processing, August 16-18, Reykjavik, Iceland), LNAI 6233, ISSN 0302-9743, Springer Verlag, Berlin Heidelberg New York, pp 115-120, [pdf](http://people.dsv.su.se/~hercules/papers/Dalianis-et-al-2010-IceTAL-Clustering-E-Mails.pdf).
Täckström, O. , S. Velupillai, M. Hassel, G. Eriksson, H. Dalianis and J. Karlgren. 2010. Uncertainty Detection as Approximate Max-Margin Sequence Labelling, In the Proceedings of CoNLL-2010 Fourteenth Conference on Computational Natural Language Learning Uppsala, Sweden, July 15-16, 2010 Publisher: ACL 2010, [pdf](http://people.dsv.su.se/~hercules/papers/taeckstroem_et_al_conll_final_2010.pdf).
Dalianis, H. and M. Skeppstedt. 2010. Creating and Evaluating a Consensus for Negated and Speculative Words in a Swedish Clinical Corpus. In the Proceedings of the Negation and Speculation in Natural Language Processing, NeSp-NLP 2010 Workshop, July 10, 2010, University of Antwerp, pp 5-13, Uppsala, Sweden, Publisher: ACL 2010, [pdf](http://aclweb.org/anthology-new/W/W10/W10-3102.pdf).
Allvin, H., E. Carlsson, H. Dalianis, R. Danielsson-Ojala, V. Daudaravicius, M. Hassel, D. Kokkinakis, H. Lundgren-Laine, G. Nilsson, Ø. Nytrø¸, S. Salanterä, M. Skeppstedt, H. Suominen and S. Velupillai. 2010. Characteristics and Analysis of Finnish and Swedish Clinical Intensive Care Nursing Narratives, In the Proceedings of the NAACL HLT 2010, Louhi'10 - Second Louhi Workshop on Text and Data Mining of Health Documents, June 5, 2010, Los Angeles, Publisher: ACL 2010, pp 53-60, [pdf.
Dalianis, H., H. Xing and X. Zhang 2010. Creating a Reusable English-Chinese Parallel Corpus for Bilingual Dictionary Construction, in the Proceedings of the Seventh International Conference on Language Resources and Evaluation, LREC 2010, Valletta, Malta, May 19-21, 2010, pp 1700-1705, pdf](http://www.aclweb.org/anthology-new/W/W10/W10-1108.pdf).
Carlsson, E. and H. Dalianis. 2010. Influence of Module Order on Rule-Based De-identification of Personal Names in Electronic Patient Records Written in Swedish, in the Proceedings of the Seventh International Conference on Language Resources and Evaluation, LREC 2010, Valletta, Malta, May 19-21, 2010, pp 3071-3075. [pdf.](http://www.lrec-conf.org/proceedings/lrec2010/pdf/46_Paper.pdf)
Dalianis H. and S. Velupillai. 2010. How Certain are Clinical Assessments? Annotating Swedish Clinical Text for (Un)certainties, Speculations and Negations, in the Proceedings of the of the Seventh International Conference on Language Resources and Evaluation, LREC 2010, Valletta, Malta, May 19-21, 2010, pp 3442-3446, [pdf.](http://www.lrec-conf.org/proceedings/lrec2010/pdf/245_Paper.pdf)
Dalianis, H. and S. Velupillai. 2010. De-identifying Swedish Clinical Text - Refinement of a Gold Standard and Experiments with Conditional Random Fields, Journal of Biomedical Semantics 2010, 1:6 (12 April 2010). [pdf.](http://www.jbiomedsem.com/content/1/1/6)
Velupillai, S., M. Hassel and H. Dalianis 2010. Finding the parallel: Automatic Dictionary Construction and Identification of Parallel Text Pairs. In Using Corpora in Contrastive and Translation Studies, Editor: Richard Xiao, February 2010, ISBN(13): 978-1-4438-1755-4, ISBN(10): 1-4438-1755-4, [Cambridge Scholars Publishing, pp 312-336.
1、http://dsv.su.se/en/research/research-areas/health/projects/detect-hai-1.113070 从非结构化的自然语言中检测院感的发生