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
Taridzo ChomutareUniversity Hospital of North NorwayVerified email at ehealthresearch.no
Andrius BudrionisNorwegian Centre for E-health Research, University Hospital of North NorwayVerified email at ehealthresearch.no
Martin DuneldAssociate Professor in Computer and Systems Sciences, Stockholm UniversityVerified email at dsv.su.se
Pierre ZweigenbaumSenior Researcher, LISN, CNRS, Université Paris-Saclay, Orsay, France (formery LIMSI)Verified email at lisn.fr
Aurelie NeveolCNRSVerified email at limsi.fr
Ola KnutssonDepartment of Computer and Systems Sciences, Stockholm UniversityVerified email at dsv.su.se
Henrik BoströmProfessor of computer science - data science systems, KTH Royal Institute of TechnologyVerified email at kth.se
Hanna BergStockholm universityVerified email at dsv.su.se
Guergana SavovaProfessor, HarvardVerified email at childrens.harvard.edu
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
Arantza CasillasUPV-EHUVerified email at ehu.eus
Koenraad De SmedtUniversity of BergenVerified email at uib.no
Fred GodtliebsenUniversity of TromsøVerified email at uit.no
Paul JohannessonProfessor in Computer and Systems Sciences, Stockholm UniversityVerified email at dsv.su.se
Anders JohanssonDept Clinical Microbiology, Umeå University, SwedenVerified email at umu.se
Vitaly Herasevich, MD, PhD, FCCM, F...Professor of Anesthesiology and Medicine, Mayo ClinicVerified email at mayo.edu

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, 1-13, 2018	308	2018
Evaluation metrics and evaluation H Dalianis, H Dalianis Clinical Text Mining: secondary use of electronic patient records, 45-53, 2018	269	2018
Clinical text mining: Secondary use of electronic patient records H Dalianis Springer Nature, 2018	222	2018
Aggregation in natural language generation H Dalianis, E Hovy Trends in Natural Language Generation An Artificial Intelligence Perspective …, 1996	169	1996
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	155	2021
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	142	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	129	2001
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	121	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	112	2015
A method for validating a conceptual model by natural language discourse generation H Dalianis Advanced Information Systems Engineering, 425-444, 1992	110	1992
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	107	2015
Swesum: A text summerizer for swedish H Dalianis KTH, 2000	100	2000
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	97	2009
Aggregation in natural language generation H Dalianis Computational Intelligence 15 (4), 384-414, 1999	95	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	93	2009
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	84	2015
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	71	2012
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	66	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	65	2018
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	58	2016

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