H. Dalianis

发表

The Stockholm EPR Corpus – Characteristics and Some Initial Findings

H. Dalianis, Martin Hassel, S. Velupillai, 2009 .

Characteristics of Finnish and Swedish intensive care nursing narratives: a comparative analysis to support the development of clinical language technologies

Heljä Lundgrén-Laine, Sanna Salanterä, Øystein Nytrø, 2011, J. Biomed. Semant..

The Stockholm EPR Corpus – Characteristics and Some Initial Findings

H. Dalianis, Martin Hassel, S. Velupillai, 2009 .

Calculating Prevalence of Comorbidity and Comorbidity Combinations with Diabetes in Hospital Care in Sweden Using a Health Care Record Database

H. Dalianis, G. Nilsson, Hideyuki Tanushi, 2011 .

1 From SweSum to ScandSum-Automatic text summarization for the Scandinavian languages

H. Dalianis, Martin Hassel, 2003 .

How short is good? An evaluation of automatic summarization

Koenraad De Smedt, Hercules Dalianis, Martin Hassel, 2000 .

Natural language processing and machine learning to enable automatic extraction and classification of patients’ smoking status from electronic medical records

H. Dalianis, M. Rosenlund, Andrea Caccamisi, 2020, Upsala journal of medical sciences.

Ensembles for clinical entity extraction Agrupaciones para la extracción de entidades cĺınicas

Koldo Gojenola, H. Dalianis, Rebecka Weegar, 2018 .

User Needs: Clinicians, Clinical Researchers and Hospital Management

H. Dalianis, 2018 .

Validation of automated sepsis surveillance based on the Sepsis-3 clinical criteria against physician record review in a general hospital population: observational study using electronic health records data

V. Herasevich, H. Dalianis, M. Mogensen, 2020, BMJ Quality & Safety.

Integrating STEP Schemata using Automatic Methods

H. Dalianis, 1998 .

Louhi 2010: Special issue on Text and Data Mining of Health Documents

Sumithra Velupillai, Hercules Dalianis, Martin Hassel, 2011, J. Biomed. Semant..

Utility Preservation of Clinical Text After De-Identification

H. Dalianis, Thomas Vakili, 2022, BIONLP.

Characteristics of Patient Records and Clinical Corpora

H. Dalianis, 2018 .

Combining deep learning and fuzzy logic to predict rare ICD-10 codes from clinical notes

H. Dalianis, T. Chomutare, A. Budrionis, 2022, 2022 IEEE International Conference on Digital Health (ICDH).

Minimum data set and standards in the context of nosocomial infection surveillance and antimicrobial stewardship

H. Dalianis, M. Mogensen, M. Behnke, 2016 .

Finding Cervical Cancer Symptoms in Swedish Clinical Text using a Machine Learning Approach and NegEx

Søren Brunak, Maria Kvist, Rebecka Weegar, 2015, AMIA.

To search and summarize in Scandinavia Hercules Dalianis

H. Dalianis, 2004 .

Evaluation of LIME and SHAP in Explaining Automatic ICD-10 Classifications of Swedish Gastrointestinal Discharge Summaries

H. Dalianis, Thomas Vakili, H. Davidsen, 2022, Linköping Electronic Conference Proceedings.

Downstream Task Performance of BERT Models Pre-Trained Using Automatically De-Identified Clinical Data

H. Dalianis, Aron Henriksson, Thomas Vakili, 2022, LREC.

Augmenting a De-identification System for Swedish Clinical Text Using Open Resources and Deep Learning

Hercules Dalianis, Hanna Berg, H. Dalianis, 2019 .

Detecting hospital-acquired infections: A document classification approach using support vector machines and gradient tree boosting

Jörg Tiedemann, Hercules Dalianis, Claudia Ehrentraut, 2016, Health Informatics J..

Clinical Text Mining

Hercules Dalianis, H. Dalianis, 2018, Springer International Publishing.

Basic Building Blocks for Clinical Text Processing

Hercules Dalianis, H. Dalianis, 2018 .

Finding the Parallel : Automatic Dictionary Construction and Identification of Parallel Text Pairs

Sumithra Velupillai, Hercules Dalianis, Martin Hassel, 2008 .

A Computer-Based System for Measurements and Analyses in Radiology

H. Dalianis, H. Ringertz, U. Erasmie, 1990, Acta radiologica.

Clinical Text Mining: Secondary Use of Electronic Patient Records

Hercules Dalianis, H. Dalianis, 2018 .

Challenges and opportunities beyond structured data in analysis of electronic health records

Andrius Budrionis, Fred Godtliebsen, Hercules Dalianis, 2021, WIREs Computational Statistics.

Applications of Clinical Text Mining

Hercules Dalianis, H. Dalianis, 2018 .

Peripheral Oxygen Saturation Facilitates Assessment of Respiratory Dysfunction in the Sequential Organ Failure Assessment Score With Implications for the Sepsis-3 Criteria

H. Dalianis, Aron Henriksson, P. Nauclér, 2021, Critical care medicine.

Deep Learning from Heterogeneous Sequences of Sparse Medical Data for Early Prediction of Sepsis

Hercules Dalianis, Aron Henriksson, Logan Ward, 2020, HEALTHINF.

Pathology text mining - on Norwegian prostate cancer reports

Hercules Dalianis, Anders Dahl, Atilla Ozkan, 2016, 2016 IEEE 32nd International Conference on Data Engineering Workshops (ICDEW).

Aggregation in Natural Language Generation

Eduard H. Hovy, Hercules Dalianis, E. Hovy, 1993, EWNLG.

On Lexical Aggregation and Ordering

Eduard H. Hovy, Hercules Dalianis, E. Hovy, 1996, INLG.

Pseudonymisation of Personal Names and other PHIs in an Annotated Clinical Swedish Corpus

Hercules Dalianis, Alyaa Alfalahi, Sara Brissman, 2012 .

Clustering E-Mails for the Swedish Social Insurance Agency - What Part of the E-Mail Thread Gives the Best Quality?

Hercules Dalianis, Eriks Sneiders, Magnus Rosell, 2010, IceTAL.

Integrating STEP Schemata using Automatic Methods

H. Dalianis, 1998 .

The VINST Approach : V alidating and In tegrating ST EP AP Schemata Using a Semi Automatic Tool

Hercules Dalianis, H. Dalianis, 1998 .

Reuse of an ontology in an electrical distribution network domain1

Hercules Dalianis, Fredrik Persson, F. Persson, 1997 .

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

S Velupillai, D Mowery, B R South, 2015, Yearbook of Medical Informatics.

Evaluation Metrics and Evaluation

Hercules Dalianis, H. Dalianis, 2018 .

Clinical Natural Language Processing in languages other than English: opportunities and challenges

Pierre Zweigenbaum, Guergana K. Savova, Hercules Dalianis, 2018, Journal of Biomedical Semantics.

Are Clinical BERT Models Privacy Preserving? The Difficulty of Extracting Patient-Condition Associations

H. Dalianis, Thomas Vakili, 2021, HUMAN@AAAI Fall Symposium.

Applied Natural Language Processing: Identification, Investigation and Resolution

Hercules Dalianis, Martin Hassel, H. Dalianis, 2011 .

Implementation of specialised attention mechanisms: ICD-10 classification of Gastrointestinal discharge summaries in English, Spanish and Swedish

H. Dalianis, Alicia Pérez, Arantza Casillas, 2022, J. Biomed. Informatics.

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

Hercules Dalianis, Karin Sundström, Claudia Ehrentratraut, 2015, CAiSE Industry Track.

Identifying adverse drug event information in clinical notes with distributional semantic representations of context

Maria Kvist, Hercules Dalianis, Aron Henriksson, 2015, J. Biomed. Informatics.

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

Hercules Dalianis, Claudia Ehrentraut, Hideyuki Tanushi, 2012 .

Semi-supervised medical entity recognition: A study on Spanish and Swedish clinical corpora

Koldo Gojenola, Alicia Pérez, Rebecka Weegar, 2017, J. Biomed. Informatics.

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

Danielle L. Mowery, Wendy W. Chapman, Maria Kvist, 2014, Artif. Intell. Medicine.

Factuality Levels of Diagnoses in Swedish Clinical Text

Maria Kvist, Sumithra Velupillai, Hercules Dalianis, 2011, MIE.

Modeling electronic health records in ensembles of semantic spaces for adverse drug event detection

Jing Zhao, Henrik Boström, Hercules Dalianis, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Knowledge patterns for online health portal development

Sumithra Velupillai, Hercules Dalianis, Andrea Andrenucci, 2018, Health Informatics J..

Vocabulary Modifications for Domain-adaptive Pretraining of Clinical Language Models

H. Dalianis, Aron Henriksson, Anastasios Lamproudis, 2022, HEALTHINF.

Evaluating a Spelling Support in a Search Engine

Hercules Dalianis, H. Dalianis, 2002, NLDB.

Developing a standard for de-identifying electronic patient records written in Swedish: Precision, recall and F-measure in a manual and computerized annotation trial

Sumithra Velupillai, Hercules Dalianis, Martin Hassel, 2009, Int. J. Medical Informatics.

Proceedings of the 5th International Workshop on Health Text Mining and Information Analysis (Louhi)

Maria Kvist, Sumithra Velupillai, Hercules Dalianis, 2014 .

Using Uplug and SiteSeeker to construct a cross language search engine for Scandinavian languages

Hercules Dalianis, Viggo Kann, Martin Rimka, 2009, NODALIDA.

On the Contribution of Per-ICD Attention Mechanisms to Classify Health Records in Languages with Fewer Resources than English

Hercules Dalianis, Arantza Casillas, Alicia Pérez, 2021, RANLP.

Automatic training of lemmatization rules that handle morphological changes in pre-, in- and suffixes alike

Hercules Dalianis, Bart Jongejan, H. Dalianis, 2009, ACL.

Natural language processing and machine learning to enable automatic extraction and classification of patients’ smoking status from electronic medical records

H. Dalianis, M. Rosenlund, Andrea Caccamisi, 2020, Upsala journal of medical sciences.

Detecting Adverse Drug Events from Swedish Electronic Health Records using Text Mining

Hercules Dalianis, Maria Bampa, H. Dalianis, 2020, MULTILINGUALBIO.

Increasing the Efficiency and Quality of E-mail Communication in eGovernment Using Language Technology

Ola Knutsson, Hercules Dalianis, Teresa Cerratto-Pargman, 2010 .

Using human language technology to support the handling officers at the Swedish Social Insurance Agency

Ola Knutsson, Hercules Dalianis, Teresa Cerratto Pargman, 2009 .

Adverse Drug Event classification of health records using dictionary based pre-processing and machine learning

Hercules Dalianis, Stefanie Friedrich, H. Dalianis, 2015, Louhi@EMNLP.

The Impact of De-identification on Downstream Named Entity Recognition in Clinical Text

Hercules Dalianis, Aron Henriksson, Hanna Berg, 2020, LOUHI.

De-identifying Swedish clinical text - refinement of a gold standard and experiments with Conditional random fields

Sumithra Velupillai, Hercules Dalianis, H. Dalianis, 2010, J. Biomed. Semant..

De-identification of Clinical Text for Secondary Use: Research Issues

Uno Fors, Hercules Dalianis, Aron Henriksson, 2021, HEALTHINF.

Predicting sepsis onset using a machine learned causal probabilistic network algorithm based on electronic health records data

V. Herasevich, H. Dalianis, M. Mogensen, 2023, Scientific reports.

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

Maria Kvist, Sumithra Velupillai, Hercules Dalianis, 2015, BMC Medical Informatics and Decision Making.

HEALTH BANK - A Workbench for Data Science Applications in Healthcare

Maria Kvist, Sumithra Velupillai, Rebecka Weegar, 2015, CAiSE Industry Track.

Automatic recognition of disorders, findings, pharmaceuticals and body structures from clinical text: An annotation and machine learning study

Maria Kvist, Hercules Dalianis, Maria Skeppstedt, 2014, J. Biomed. Informatics.

Rule-based Entity Recognition and Coverage of SNOMED CT in Swedish Clinical Text

Maria Kvist, Hercules Dalianis, Maria Skeppstedt, 2012, LREC.

Computational Methods for Text Analysis and Text Classification

Hercules Dalianis, H. Dalianis, 2018 .

Modeling heterogeneous clinical sequence data in semantic space for adverse drug event detection

Jing Zhao, Henrik Boström, Hercules Dalianis, 2015, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Is De-identification of Electronic Health Records Possible? OR Can We Use Health Record Corpora for Research?

Sumithra Velupillai, Hercules Dalianis, Gunnar H. Nilsson, 2009, AAAI Fall Symposium: Virtual Healthcare Interaction.

Text Analysis to Support Structuring and Modelling a Public Policy Problem-Outline of an Algorithm to Extract Inferences from Textual Data

Hercules Dalianis, Osama Ibrahim, Claudia Ehrentraut, 2015 .

Terminology Expansion with Prototype Embeddings: Extracting Symptoms of Urinary Tract Infection from Clinical Text

Hercules Dalianis, Aron Henriksson, Hideyuki Tanushi, 2021, HEALTHINF.

Automatic Clinical Text De-Identification: Is It Worth It, and Could It Work for Me?

Stéphane M. Meystre, Bradley Malin, Hercules Dalianis, 2013, MedInfo.

Applying deep learning on electronic health records in Swedish to predict healthcare-associated infections

Hercules Dalianis, Olof Jacobson, H. Dalianis, 2016, BioNLP@ACL.

Negation Scope Delimitation in Clinical Text Using Three Approaches: NegEx, PyConTextNLP and SynNeg

Maria Kvist, Sumithra Velupillai, Hercules Dalianis, 2013, NODALIDA.

Creating and evaluating a consensus for negated and speculative words in a Swedish clinical corpus

Hercules Dalianis, Maria Skeppstedt, H. Dalianis, 2010, NeSp-NLP@ACL.

The accuracy of fully-automated algorithms for surveillance of healthcare-associated urinary tract infections in hospitalized patients.

Mahbub Ul Alam, H. Dalianis, Aron Henriksson, 2021, The Journal of hospital infection.

Aggregation in Natural Language Generation

Hercules Dalianis, H. Dalianis, 1999 .

Aggregation in the NL-generator of the Visual and Natural language Specification Tool

Hercules Dalianis, H. Dalianis, 1995, EACL.

Aggregation in Natural Language Generation

H. Dalianis, Eduard H. Hovy, 1993, EWNLG.

Clinical Text Retrieval - An Overview of Basic Building Blocks and Applications

Hercules Dalianis, H. Dalianis, 2014, Professional Search in the Modern World.

Modeling human comprehension of Swedish medical records for intelligent access and summarization systems - Future vision, a physician's perspective

Maria Kvist, Sumithra Velupillai, Hercules Dalianis, 2011 .