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

John A Keane

Showing results (1-10 of 12) with videos related to

Pageof 2
Sort By:
Bioinformation|February 29, 2008
A cascaded approach to normalising gene mentions in biomedical literatureHui Yang, Goran Nenadic, John A Keane
BMC Bioinformatics|May 9, 2008
Identification of transcription factor contexts in literature using machine learning approachesHui Yang, Goran Nenadic, John A Keane
Biomedical Informatics Insights|August 11, 2012
Topic categorisation of statements in suicide notes with integrated rules and machine learningAleksandar Kovačević, Azad Dehghan, John A Keane, et al.
Journal of the American Medical Informatics Association : JAMIA|April 25, 2009
A text mining approach to the prediction of disease status from clinical discharge summariesHui Yang, Irena Spasic, John A Keane, et al.
Journal of the American Medical Informatics Association : JAMIA|September 8, 2010
Medication information extraction with linguistic pattern matching and semantic rulesIrena Spasic, Farzaneh Sarafraz, John A Keane, et al.
International Journal of Medical Informatics|July 11, 2014
Text mining of cancer-related information: review of current status and future directionsIrena Spasić, Jacqueline Livsey, John A Keane, et al.
Journal of Biomedical Informatics|July 27, 2015
Combining knowledge- and data-driven methods for de-identification of clinical narrativesAzad Dehghan, Aleksandar Kovacevic, George Karystianis, et al.
Journal of Biomedical Informatics|June 13, 2017
Learning to identify Protected Health Information by integrating knowledge- and data-driven algorithms: A case study on psychiatric evaluation notesAzad Dehghan, Aleksandar Kovacevic, George Karystianis, et al.
Journal of the American Medical Informatics Association : JAMIA|April 23, 2013
Combining rules and machine learning for extraction of temporal expressions and events from clinical narrativesAleksandar Kovacevic, Azad Dehghan, Michele Filannino, et al.
Journal of Biomedical Informatics|July 3, 2015
Using local lexicalized rules to identify heart disease risk factors in clinical notesGeorge Karystianis, Azad Dehghan, Aleksandar Kovacevic, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Bioinformation|February 29, 2008
A cascaded approach to normalising gene mentions in biomedical literatureHui Yang, Goran Nenadic, John A Keane
BMC Bioinformatics|May 9, 2008
Identification of transcription factor contexts in literature using machine learning approachesHui Yang, Goran Nenadic, John A Keane
Biomedical Informatics Insights|August 11, 2012
Topic categorisation of statements in suicide notes with integrated rules and machine learningAleksandar Kovačević, Azad Dehghan, John A Keane, et al.
Journal of the American Medical Informatics Association : JAMIA|April 25, 2009
A text mining approach to the prediction of disease status from clinical discharge summariesHui Yang, Irena Spasic, John A Keane, et al.
Journal of the American Medical Informatics Association : JAMIA|September 8, 2010
Medication information extraction with linguistic pattern matching and semantic rulesIrena Spasic, Farzaneh Sarafraz, John A Keane, et al.
International Journal of Medical Informatics|July 11, 2014
Text mining of cancer-related information: review of current status and future directionsIrena Spasić, Jacqueline Livsey, John A Keane, et al.
Journal of Biomedical Informatics|July 27, 2015
Combining knowledge- and data-driven methods for de-identification of clinical narrativesAzad Dehghan, Aleksandar Kovacevic, George Karystianis, et al.
Journal of Biomedical Informatics|June 13, 2017
Learning to identify Protected Health Information by integrating knowledge- and data-driven algorithms: A case study on psychiatric evaluation notesAzad Dehghan, Aleksandar Kovacevic, George Karystianis, et al.
Journal of the American Medical Informatics Association : JAMIA|April 23, 2013
Combining rules and machine learning for extraction of temporal expressions and events from clinical narrativesAleksandar Kovacevic, Azad Dehghan, Michele Filannino, et al.
Journal of Biomedical Informatics|July 3, 2015
Using local lexicalized rules to identify heart disease risk factors in clinical notesGeorge Karystianis, Azad Dehghan, Aleksandar Kovacevic, et al.
Pageof 2