Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Hercules Dalianis

Showing results (11-20 of 33) with videos related to

Pageof 4
Sort By:
BMC 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.
Journal 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.
International Journal of Medical Informatics|June 2, 2009
Developing a standard for de-identifying electronic patient records written in Swedish: precision, recall and F-measure in a manual and computerized annotation trialSumithra Velupillai, Hercules Dalianis, Martin Hassel, 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.
Journal of Biomedical Informatics|March 29, 2022
Implementation of specialised attention mechanisms: ICD-10 classification of Gastrointestinal discharge summaries in English, Spanish and SwedishAlberto Blanco, Sonja Remmer, Alicia Pérez, et al.
Health Informatics Journal|August 7, 2016
Detecting hospital-acquired infections: A document classification approach using support vector machines and gradient tree boostingClaudia Ehrentraut, Markus Ekholm, Hideyuki Tanushi, et al.
Journal of Biomedical Semantics|April 1, 2018
Clinical Natural Language Processing in languages other than English: opportunities and challengesAurélie Névéol, Hercules Dalianis, Sumithra Velupillai, 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.
JMIR 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.
Journal of Biomedical Informatics|May 21, 2017
Semi-supervised medical entity recognition: A study on Spanish and Swedish clinical corporaAlicia Pérez, Rebecka Weegar, Arantza Casillas, et al.
Pageof 4

Showing results (11-20 of 33) with videos related to

Sort By:
Pageof 4
BMC 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.
Journal 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.
International Journal of Medical Informatics|June 2, 2009
Developing a standard for de-identifying electronic patient records written in Swedish: precision, recall and F-measure in a manual and computerized annotation trialSumithra Velupillai, Hercules Dalianis, Martin Hassel, 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.
Journal of Biomedical Informatics|March 29, 2022
Implementation of specialised attention mechanisms: ICD-10 classification of Gastrointestinal discharge summaries in English, Spanish and SwedishAlberto Blanco, Sonja Remmer, Alicia Pérez, et al.
Health Informatics Journal|August 7, 2016
Detecting hospital-acquired infections: A document classification approach using support vector machines and gradient tree boostingClaudia Ehrentraut, Markus Ekholm, Hideyuki Tanushi, et al.
Journal of Biomedical Semantics|April 1, 2018
Clinical Natural Language Processing in languages other than English: opportunities and challengesAurélie Névéol, Hercules Dalianis, Sumithra Velupillai, 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.
JMIR 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.
Journal of Biomedical Informatics|May 21, 2017
Semi-supervised medical entity recognition: A study on Spanish and Swedish clinical corporaAlicia Pérez, Rebecka Weegar, Arantza Casillas, et al.
Pageof 4