Hercules Dalianis

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Sumithra VelupillaiKing's College LondonVerified email at kcl.ac.uk
Aron HenrikssonAssociate Professor in Computer and Systems Sciences, Stockholm UniversityVerified email at dsv.su.se
Maria SkeppstedtVerified email at kth.se
Martin DuneldAssociate Professor in Computer and Systems Sciences, Stockholm UniversityVerified email at dsv.su.se
Ola KnutssonDepartment of Computer and Systems Sciences, Stockholm UniversityVerified email at dsv.su.se
Henrik BoströmProfessor in computer science - data science systems, KTH Royal Institute of TechnologyVerified email at kth.se
Pierre ZweigenbaumSenior Researcher, LISN, CNRS, Université Paris-Saclay, Orsay, France (formery LIMSI)Verified email at lisn.fr
Aurelie NeveolCNRSVerified email at limsi.fr
Guergana SavovaProfessor, HarvardVerified email at childrens.harvard.edu
Taridzo ChomutareUniversity Hospital of North NorwayVerified email at ehealthresearch.no
Hanna BergStockholm universityVerified email at dsv.su.se
Danielle L Mowery PhD, FAMIAChief Research Information Officer/Assistant Professor, University of PennsylvaniaVerified email at pennmedicine.upenn.edu
Bart Jongejansoftware developer, Copenhagen UniversityVerified email at hum.ku.dk
Andrius BudrionisNorwegian Centre for E-health Research, University Hospital of North NorwayVerified email at ehealthresearch.no
Koenraad De SmedtUniversity of BergenVerified email at uib.no
Arantza CasillasUPV-EHUVerified email at ehu.eus
Paul JohannessonProfessor in Computer and Systems Sciences, Stockholm UniversityVerified email at dsv.su.se
Eriks SneidersLecturer, Stockholm UniveristyVerified email at dsv.su.se
Jörg TiedemannProfessor of Language Technology, University of HelsinkiVerified email at helsinki.fi
Hanna SuominenProfessor, Associate Director (Neuroinformatics), ANU School of Computing and ANU Eccles InstituteVerified email at anu.edu.au

Hercules Dalianis

Professor in Computer and Systems Science, Stockholm University, Sweden

Verified email at dsv.su.se - Homepage

Clinical text mining information retrieval text generation automatic text summarisation


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Clinical natural language processing in languages other than English: opportunities and challenges A Névéol, H Dalianis, S Velupillai, G Savova, P Zweigenbaum Journal of biomedical semantics 9 (1), 1-13, 2018	205	2018
Clinical text mining: Secondary use of electronic patient records H Dalianis Springer Nature, 2018	149	2018
Aggregation in natural language generation H Dalianis, E Hovy Trends in Natural Language Generation An Artificial Intelligence Perspective …, 1996	145	1996
Automatic recognition of disorders, findings, pharmaceuticals and body structures from clinical text: An annotation and machine learning study M Skeppstedt, M Kvist, GH Nilsson, H Dalianis Journal of biomedical informatics 49, 148-158, 2014	130	2014
Improving precision in information retrieval for Swedish using stemming J Carlberger, H Dalianis, M Duneld, O Knutsson Proceedings of the 13th Nordic Conference of Computational Linguistics …, 2001	128	2001
A method for validating a conceptual model by natural language discourse generation H Dalianis Advanced Information Systems Engineering, 425-444, 1992	111	1992
Automatic training of lemmatization rules that handle morphological changes in pre-, in-and suffixes alike B Jongejan, H Dalianis Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL …, 2009	110	2009
Identifying adverse drug event information in clinical notes with distributional semantic representations of context A Henriksson, M Kvist, H Dalianis, M Duneld Journal of biomedical informatics 57, 333-349, 2015	101	2015
Evaluation metrics and evaluation H Dalianis, H Dalianis Clinical text mining: secondary use of electronic patient records, 45-53, 2018	99	2018
The Stockholm EPR corpus–Characteristics and some initial findings H Dalianis, M Hassel, S Velupillai Proceedings of ISHIMR 2009, Evaluation and implementation of e-health and …, 2009	94	2009
Swesum: A text summerizer for swedish H Dalianis KTH, 2000	94	2000
Recent advances in clinical natural language processing in support of semantic analysis S Velupillai, D Mowery, BR South, M Kvist, H Dalianis Yearbook of medical informatics 24 (01), 183-193, 2015	93	2015
Aggregation in natural language generation H Dalianis Computational Intelligence 15 (4), 384-414, 1999	90	1999
Developing a standard for de-identifying electronic patient records written in Swedish: Precision, recall and F-measure in a manual and computerized annotation trial S Velupillai, H Dalianis, M Hassel, GH Nilsson International Journal of Medical Informatics 78 (12), e19-e26, 2009	78	2009
Stockholm epr corpus: a clinical database used to improve health care H Dalianis, M Hassel, A Henriksson, M Skeppstedt Swedish Language Technology Conference, 17-18, 2012	72	2012
HEALTH BANK-A Workbench for Data Science Applications in Healthcare. H Dalianis, A Henriksson, M Kvist, S Velupillai, R Weegar CAiSE Industry Track 1381, 1-18, 2015	71	2015
Applying deep learning on electronic health records in Swedish to predict healthcare-associated infections O Jacobson, H Dalianis Proceedings of the 15th workshop on biomedical natural language processing …, 2016	54	2016
Challenges and opportunities beyond structured data in analysis of electronic health records M Tayefi, P Ngo, T Chomutare, H Dalianis, E Salvi, A Budrionis, ... Wiley Interdisciplinary Reviews: Computational Statistics 13 (6), e1549, 2021	53	2021
De-identifying Swedish clinical text-refinement of a gold standard and experiments with Conditional random fields H Dalianis, S Velupillai Journal of biomedical semantics 1, 1-10, 2010	52	2010
Detecting hospital-acquired infections: a document classification approach using support vector machines and gradient tree boosting C Ehrentraut, M Ekholm, H Tanushi, J Tiedemann, H Dalianis Health informatics journal 24 (1), 24-42, 2018	47	2018

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