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Author Details

Hercules Dalianis
Stockholm University
1990
28
9
PMIDPaper TitleJournal TitlePublished Year
37474597Predicting sepsis onset using a machine learned causal probabilistic network algorithm based on electronic health records data.Sci Rep2023
34406170Peripheral Oxygen Saturation Facilitates Assessment of Respiratory Dysfunction in the Sequential Organ Failure Assessment Score With Implications for the Sepsis-3 Criteria.Crit Care Med2022
35346854Implementation of specialised attention mechanisms: ICD-10 classification of Gastrointestinal discharge summaries in English, Spanish and Swedish.J Biomed Inform2022
36310782The accuracy of fully automated algorithms for surveillance of healthcare-onset <i>Clostridioides difficile</i> infections in hospitalized patients.Antimicrob Steward Healthc Epidemiol2022
33548370The accuracy of fully automated algorithms for surveillance of healthcare-associated urinary tract infections in hospitalized patients.J Hosp Infect2021
32570364De-Identifying Swedish EHR Text Using Public Resources in the General Domain.Stud Health Technol Inform2020
32029574Validation 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.BMJ Qual Saf2020
32696698Natural language processing and machine learning to enable automatic extraction and classification of patients' smoking status from electronic medical records.Ups J Med Sci2020
30232926Knowledge patterns for online health portal development.Health Informatics J2019
27496862Detecting hospital-acquired infections: A document classification approach using support vector machines and gradient tree boosting.Health Informatics J2018
29602312Clinical Natural Language Processing in languages other than English: opportunities and challenges.J Biomed Semantics2018
28526460Semi-supervised medical entity recognition: A study on Spanish and Swedish clinical corpora.J Biomed Inform2017
28423786Prevalence Estimation of Protected Health Information in Swedish Clinical Text.Stud Health Technol Inform2017
29295123Detecting Protected Health Information in Heterogeneous Clinical Notes.Stud Health Technol Inform2017
27459846Ensembles of randomized trees using diverse distributed representations of clinical events.BMC Med Inform Decis Mak2016
26099575Louhi 2014: Special issue on health text mining and information analysis.BMC Med Inform Decis Mak2015
26293867Recent Advances in Clinical Natural Language Processing in Support of Semantic Analysis.Yearb Med Inform2015
26291578Identifying adverse drug event information in clinical notes with distributional semantic representations of context.J Biomed Inform2015
26958270Finding Cervical Cancer Symptoms in Swedish Clinical Text using a Machine Learning Approach and NegEx.AMIA Annu Symp Proc2015
24508177Automatic recognition of disorders, findings, pharmaceuticals and body structures from clinical text: an annotation and machine learning study.J Biomed Inform2014
24556644Cue-based assertion classification for Swedish clinical text--developing a lexicon for pyConTextSwe.Artif Intell Med2014
23920923Using text prediction for facilitating input and improving readability of clinical text.Stud Health Technol Inform2013
21893811Factuality levels of diagnoses in Swedish clinical text.Stud Health Technol Inform2011
21992572Characteristics of Finnish and Swedish intensive care nursing narratives: a comparative analysis to support the development of clinical language technologies.J Biomed Semantics2011
21992545Louhi 2010: Special issue on Text and Data Mining of Health Documents.J Biomed Semantics2011
20618985De-identifying Swedish clinical text - refinement of a gold standard and experiments with Conditional random fields.J Biomed Semantics2010
19482543Developing 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 Med Inform2009
2278793A computer-based system for measurements and analyses in radiology.Acta Radiol1990
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Collaborators

Stockholm University
Co-authored papers 10
Karolinska Institutet
Co-authored papers 5
Karolinska Institutet
Co-authored papers 5
Karolinska Institutet
Co-authored papers 4
Department of Medicine Solna Karolinska Institutet, Karolinska University Hospital
Co-authored papers 3
Joint Center for Energy Storage Research (JCESR), Argonne National Laboratory
Co-authored papers 3
Karolinska Institutet
Co-authored papers 3
Belarusian Medical Academy of Postgraduate Education, Belarusian State Medical University, Brest Medical College, Mayo Clinic, Mayo Graduate School
Co-authored papers 2
Aalborg University, Center for Model-Based Medical Decision Support
Co-authored papers 2
Mayo Clinic
Co-authored papers 2
Institute for Biomedical Informatics, University of Pennsylvania
Co-authored papers 2
Novo Nordisk Foundation Center for Protein Research, University of Copenhagen
Co-authored papers 1
Karolinska University Hospital
Co-authored papers 1
Boston Children's Hospital, Harvard Medical School.
Co-authored papers 1
Umea University
Co-authored papers 1
University of Utah
Co-authored papers 1
Karolinska Institutet
Co-authored papers 1
Australian National University, University of Turku
Co-authored papers 1
University of Melbourne
Co-authored papers 1
Melbourne Medical School, The University of Melbourne
Co-authored papers 1
Umea University
Co-authored papers 1
60654University of Turku
Co-authored papers 1