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2020 – today
- 2024
[i1]Taridzo Chomutare, Therese Olsen Svenning, Miguel Angel Tejedor Hernandez, Phuong Dinh Ngo, Andrius Budrionis, Kaisa Markljung, Lill Irene Hind, Torbjørn Torsvik, Karl Øyvind Mikalsen, Aleksandar Babic, Hercules Dalianis:
Artificial intelligence to improve clinical coding practice in Scandinavia: a crossover randomized controlled trial. CoRR abs/2410.23725 (2024)- 2023
- [c66]Thomas Vakili, Hercules Dalianis:
Using Membership Inference Attacks to Evaluate Privacy-Preserving Language Modeling Fails for Pseudonymizing Data. NoDaLiDa 2023: 318-323 - 2022
- [j15]Alberto Blanco, Sonja Remmer, Alicia Pérez
, Hercules Dalianis, Arantza Casillas:
Implementation of specialised attention mechanisms: ICD-10 classification of Gastrointestinal discharge summaries in English, Spanish and Swedish. J. Biomed. Informatics 130: 104050 (2022) - [c65]Thomas Vakili, Hercules Dalianis:
Utility Preservation of Clinical Text After De-Identification. BioNLP@ACL 2022: 383-388 - [c64]Anastasios Lamproudis, Aron Henriksson, Hercules Dalianis:
Vocabulary Modifications for Domain-adaptive Pretraining of Clinical Language Models. HEALTHINF 2022: 180-188 - [c63]Taridzo Chomutare, Andrius Budrionis, Hercules Dalianis:
Combining deep learning and fuzzy logic to predict rare ICD-10 codes from clinical notes. ICDH 2022: 163-168 - [c62]Anastasios Lamproudis, Aron Henriksson, Hercules Dalianis:
Evaluating Pretraining Strategies for Clinical BERT Models. LREC 2022: 410-416 - [c61]Thomas Vakili, Anastasios Lamproudis, Aron Henriksson, Hercules Dalianis:
Downstream Task Performance of BERT Models Pre-Trained Using Automatically De-Identified Clinical Data. LREC 2022: 4245-4252 - 2021
- [c60]Thomas Vakili, Hercules Dalianis:
Are Clinical BERT Models Privacy Preserving? The Difficulty of Extracting Patient-Condition Associations. HUMAN@AAAI Fall Symposium 2021 - [c59]Mahbub Ul Alam, Aron Henriksson, Hideyuki Tanushi, Emil Thiman, Pontus Nauclér, Hercules Dalianis:
Terminology Expansion with Prototype Embeddings: Extracting Symptoms of Urinary Tract Infection from Clinical Text. HEALTHINF 2021: 47-57 - [c58]Hanna Berg, Aron Henriksson, Uno Fors, Hercules Dalianis:
De-identification of Clinical Text for Secondary Use: Research Issues. HEALTHINF 2021: 592-599 - [c57]Synnøve Bråthen, Wilhelm Wie, Hercules Dalianis:
Creating and Evaluating a Synthetic Norwegian Clinical Corpus for De-Identification. NoDaLiDa 2021: 222-230 - [c56]Mila Grancharova, Hercules Dalianis:
Applying and Sharing pre-trained BERT-models for Named Entity Recognition and Classification in Swedish Electronic Patient Records. NoDaLiDa 2021: 231-239 - [c55]Hanna Berg, Hercules Dalianis:
HB Deid - HB De-identification tool demonstrator. NoDaLiDa 2021: 467-471 - [c54]Alberto Blanco, Sonja Remmer, Alicia Pérez, Hercules Dalianis, Arantza Casillas:
On the Contribution of Per-ICD Attention Mechanisms to Classify Health Records in Languages with Fewer Resources than English. RANLP 2021: 165-172 - [c53]Anastasios Lamproudis, Aron Henriksson, Hercules Dalianis:
Developing a Clinical Language Model for Swedish: Continued Pretraining of Generic BERT with In-Domain Data. RANLP 2021: 790-797 - [c52]Sonja Remmer, Anastasios Lamproudis, Hercules Dalianis:
Multi-label Diagnosis Classification of Swedish Discharge Summaries - ICD-10 Code Assignment Using KB-BERT. RANLP 2021: 1158-1166 - 2020
- [c51]Hanna Berg, Aron Henriksson, Hercules Dalianis:
The Impact of De-identification on Downstream Named Entity Recognition in Clinical Text. LOUHI@EMNLP 2020: 1-11 - [c50]Mahbub Ul Alam, Aron Henriksson, John Karlsson Valik, Logan Morgan Ward, Pontus Nauclér, Hercules Dalianis:
Deep Learning from Heterogeneous Sequences of Sparse Medical Data for Early Prediction of Sepsis. HEALTHINF 2020: 45-55 - [c49]Maria Bampa, Hercules Dalianis:
Detecting Adverse Drug Events from Swedish Electronic Health Records using Text Mining. MultiligualBIO@LREC 2020: 1-8 - [c48]Hanna Berg, Hercules Dalianis:
A Semi-supervised Approach for De-identification of Swedish Clinical Text. LREC 2020: 4444-4450 - [c47]Taridzo Chomutare, Kassaye Yitbarek Yigzaw, Andrius Budrionis, Alexandra Makhlysheva, Fred Godtliebsen, Hercules Dalianis:
De-Identifying Swedish EHR Text Using Public Resources in the General Domain. MIE 2020: 148-152
2010 – 2019
- 2019
- [j14]Andrea Andrenucci, Hercules Dalianis, Sumithra Velupillai:
Knowledge patterns for online health portal development. Health Informatics J. 25(4) (2019) - [c46]Hanna Berg, Taridzo Chomutare, Hercules Dalianis:
Building a De-identification System for Real Swedish Clinical Text Using Pseudonymised Clinical Text. LOUHI@EMNLP 2019: 118-125 - 2018
- [b1]Hercules Dalianis:
Clinical Text Mining - Secondary Use of Electronic Patient Records. Springer 2018, ISBN 978-3-319-78502-8, pp. 1-157 - [j13]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) - [j12]Claudia Ehrentraut, Markus Ekholm, Hideyuki Tanushi, Jörg Tiedemann, Hercules Dalianis:
Detecting hospital-acquired infections: A document classification approach using support vector machines and gradient tree boosting. Health Informatics J. 24(1): 24-42 (2018) - [j11]Rebecka Weegar, Alicia Pérez, Hercules Dalianis, Koldo Gojenola, Arantza Casillas, Maite Oronoz:
Ensembles for clinical entity extraction. Proces. del Leng. Natural 60: 13-20 (2018) - 2017
- [j10]Alicia Pérez, Rebecka Weegar, Arantza Casillas, Koldo Gojenola, Maite Oronoz, Hercules Dalianis:
Semi-supervised medical entity recognition: A study on Spanish and Swedish clinical corpora. J. Biomed. Informatics 71: 16-30 (2017) - [c45]Aron Henriksson, Maria Kvist, Hercules Dalianis:
Detecting Protected Health Information in Heterogeneous Clinical Notes. MedInfo 2017: 393-397 - [c44]Rebecka Weegar, Jan F. Nygård, Hercules Dalianis:
Efficient Encoding of Pathology Reports Using Natural Language Processing. RANLP 2017: 778-783 - 2016
- [j9]Aron Henriksson, Jing Zhao, Hercules Dalianis, Henrik Boström:
Ensembles of randomized trees using diverse distributed representations of clinical events. BMC Medical Informatics Decis. Mak. 16(S-2): 69 (2016) - [c43]Olof Jacobson, Hercules Dalianis:
Applying deep learning on electronic health records in Swedish to predict healthcare-associated infections. BioNLP@ACL 2016: 191-195 - [c42]Anders Dahl, Atilla Ozkan, Hercules Dalianis:
Pathology text mining - on Norwegian prostate cancer reports. ICDE Workshops 2016: 84-87 - [c41]Georgios Ntais, Spyridon Saroukos, Eleni Berki, Hercules Dalianis:
Development and Enhancement of a Stemmer for the Greek Language. PCI 2016: 3 - 2015
- [j8]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) - [j7]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) - [c40]Rebecka Weegar, Hercules Dalianis:
Creating a rule based system for text mining of Norwegian breast cancer pathology reports. Louhi@EMNLP 2015: 73-78 - [c39]Stefanie Friedrich, Hercules Dalianis:
Adverse Drug Event classification of health records using dictionary based pre-processing and machine learning. Louhi@EMNLP 2015: 121-130 - [c38]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 - [c37]Aron Henriksson, Jing Zhao, Henrik Boström, Hercules Dalianis:
Modeling electronic health records in ensembles of semantic spaces for adverse drug event detection. BIBM 2015: 343-350 - [c36]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 - [c35]Claudia Ehrentratraut, Hercules Dalianis, Karin Sundström:
Exploration of Known and Unknown Early Symptoms of Cervical Cancer and Development of a Symptom Spectrum - Outline of a Data and Text Mining Based Approach. CAiSE Industry Track 2015: 34-44 - [c34]Aron Henriksson, Jing Zhao, Henrik Boström, Hercules Dalianis:
Modeling heterogeneous clinical sequence data in semantic space for adverse drug event detection. DSAA 2015: 1-8 - 2014
- [j6]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) - [j5]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) - [c33]Aurélie Névéol, Hercules Dalianis, Guergana Savova, Pierre Zweigenbaum:
Clinical Natural Language Processing in Languages Other Than English. AMIA 2014 - [c32]Aron Henriksson, Hercules Dalianis, Stewart Kowalski:
Generating features for named entity recognition by learning prototypes in semantic space: The case of de-identifying health records. BIBM 2014: 450-457 - [p1]Hercules Dalianis:
Clinical Text Retrieval - An Overview of Basic Building Blocks and Applications. Professional Search in the Modern World 2014: 147-165 - [e2]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
- [c31]Magnus Ahltorp, Maria Skeppstedt, Hercules Dalianis, Maria Kvist:
Using Text Prediction for Facilitating Input and Improving Readability of Clinical Text. MedInfo 2013: 1149 - [c30]Stéphane M. Meystre, Hercules Dalianis, John S. Aberdeen, Bradley A. Malin:
Automatic Clinical Text De-Identification: Is It Worth It, and Could It Work for Me? MedInfo 2013: 1242 - [c29]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
- [c28]Mattias Kanhov, Xuefeng Feng, Hercules Dalianis:
Natural Language Generation from SNOMED Specifications. CLEF (Online Working Notes/Labs/Workshop) 2012 - [c27]Maria Skeppstedt, Maria Kvist, Hercules Dalianis:
Rule-based Entity Recognition and Coverage of SNOMED CT in Swedish Clinical Text. LREC 2012: 1250-1257 - 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) - [c26]Hercules Dalianis, Jonas Sjöbergh, Eriks Sneiders:
Comparing Manual Text Patterns and Machine Learning for Classification of E-Mails for Automatic Answering by a Government Agency. CICLing (2) 2011: 234-243 - [c25]Teresa Cerratto-Pargman, Ola Knutsson, E. Celikten, Eriks Sneiders, Hercules Dalianis:
User Centered Development of Automatic E-mail Answering for the Public Sector. HCITOCH 2011: 154-156 - [c24]Sumithra Velupillai, Hercules Dalianis, Maria Kvist:
Factuality Levels of Diagnoses in Swedish Clinical Text. MIE 2011: 559-563 - 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) - [c23]Hercules Dalianis, Maria Skeppstedt:
Creating and evaluating a consensus for negated and speculative words in a Swedish clinical corpus. NeSp-NLP@ACL 2010: 5-13 - [c22]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 - [c21]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 - [c20]Elin Carlsson, Hercules Dalianis:
Influence of Module Order on Rule-Based De-identification of Personal Names in Electronic Patient Records Written in Swedish. LREC 2010 - [c19]Hercules Dalianis, Sumithra Velupillai:
How Certain are Clinical Assessments? Annotating Swedish Clinical Text for (Un)certainties, Speculations and Negations. LREC 2010 - [c18]Hercules Dalianis, Hao-chun Xing, Xin Zhang:
Creating a Reusable English-Chinese Parallel Corpus for Bilingual Dictionary Construction. LREC 2010 - [c17]Hercules Dalianis, Magnus Rosell, Eriks Sneiders:
Clustering E-Mails for the Swedish Social Insurance Agency - What Part of the E-Mail Thread Gives the Best Quality? IceTAL 2010: 115-120 - [e1]Hercules Dalianis, Martin Hassel, Gunnar H. Nilsson:
Proceedings of the Second Louhi Workshop on Text and Data Mining of Health Documents, Louhi@NAACL-HLT 2010, Los Angeles, CA, USA, June 5, 2010. Association for Computational Linguistics 2010 [contents]
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) - [c16]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 - [c15]Bart Jongejan, Hercules Dalianis:
Automatic training of lemmatization rules that handle morphological changes in pre-, in- and suffixes alike. ACL/IJCNLP 2009: 145-153 - [c14]Theodora Zarmpou, Hercules Dalianis, Maro Vlachopoulou:
Data Migration Between Web Content Management Systems. MCIS 2009: 46 - [c13]Hercules Dalianis, Martin Rimka, Viggo Kann:
Using Uplug and SiteSeeker to construct a cross language search engine for Scandinavian languages. NODALIDA 2009: 26-33 - [c12]Martin Hassel, Hercules Dalianis:
Identification of Parallel Text Pairs Using Fingerprints. RANLP 2009: 135-138 - 2008
- [c11]Jussi Karlgren, Hercules Dalianis, Bart Jongejan:
Experiments to Investigate the Connection between Case Distribution and Topical Relevance of Search Terms in an Information Retrieval Setting. LREC 2008 - 2006
- [c10]Hercules Dalianis, Bart Jongejan:
Hand-crafted versus Machine-learned Inflectional Rules: The Euroling-SiteSeeker Stemmer and CST's Lemmatiser. LREC 2006: 663-666 - 2005
- [c9]Hercules Dalianis:
Improving search engine retrieval using a compound splitter for Swedish. NODALIDA 2005: 38-42 - 2002
- [c8]Hercules Dalianis:
Evaluating a Spelling Support in a Search Engine. NLDB 2002: 183-190 - 2001
- [c7]Johan Carlberger, Hercules Dalianis, Martin Duneld, Ola Knutsson:
Improving Precision in Information Retrieval for Swedish using Stemming. NODALIDA 2001
1990 – 1999
- 1997
- [c6]Hercules Dalianis, Paul Johannesson:
Explaining Conceptual Models - An Architecture and Design Principles. ER 1997: 215-228 - 1996
- [c5]Hercules Dalianis, Eduard H. Hovy:
On Lexical Aggregation and Ordering. INLG 1996 - 1995
- [c4]Hercules Dalianis:
Aggregation in the NL-generator of the Visual and Natural language Specification Tool. EACL 1995: 286-290 - [c3]Hercules Dalianis:
Aggregation, Formal Specification and Natural Language Generation. NLDB 1995 - 1993
- [c2]Hercules Dalianis, Eduard H. Hovy:
Aggregation in Natural Language Generation. EWNLG 1993: 88-105 - 1992
- [c1]Hercules Dalianis:
A Method for Validating a Conceptual Model by Natural Language Discourse Generation. CAiSE 1992: 425-444
Coauthor Index
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