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Studies in Health Technology and Informatics|January 4, 2018
Detecting Protected Health Information in Heterogeneous Clinical NotesAron Henriksson, Maria Kvist, Hercules DalianisStudies in Health Technology and Informatics|April 21, 2017
Prevalence Estimation of Protected Health Information in Swedish Clinical TextAron Henriksson, Maria Kvist, Hercules DalianisJournal of Biomedical Informatics|August 21, 2015
Identifying adverse drug event information in clinical notes with distributional semantic representations of contextAron Henriksson, Maria Kvist, Hercules Dalianis, et al.BMC Medical Informatics and Decision Making|June 24, 2024
End-to-end pseudonymization of fine-tuned clinical BERT models : Privacy preservation with maintained data utilityThomas Vakili, Aron Henriksson, Hercules DalianisBMC Medical Informatics and Decision Making|July 28, 2016
Ensembles of randomized trees using diverse distributed representations of clinical eventsAron Henriksson, Jing Zhao, Hercules Dalianis, et al.Studies in Health Technology and Informatics|September 7, 2011
Factuality levels of diagnoses in Swedish clinical textSumithra Velupillai, Hercules Dalianis, Maria KvistJMIR Formative Research|September 11, 2025
Identifying Adverse Drug Events in Clinical Text Using Fine-Tuned Clinical Language Models: Machine Learning StudyElizaveta Kopacheva, Aron Henriksson, Hercules Dalianis, et al.Studies in Health Technology and Informatics|August 8, 2013
Using text prediction for facilitating input and improving readability of clinical textMagnus Ahltorp, Maria Skeppstedt, Hercules Dalianis, et al.Journal of Biomedical Informatics|February 11, 2014
Automatic recognition of disorders, findings, pharmaceuticals and body structures from clinical text: an annotation and machine learning studyMaria Skeppstedt, Maria Kvist, Gunnar H Nilsson, et al.AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 10, 2016
Finding Cervical Cancer Symptoms in Swedish Clinical Text using a Machine Learning Approach and NegExRebecka Weegar, Maria Kvist, Karin Sundström, et al.Pageof 6