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eNauka >  Rezultati >  Learning to identify Protected Health Information by integrating knowledge- and data-driven algorithms: A case study on psychiatric evaluation notes
Naziv: Learning to identify Protected Health Information by integrating knowledge- and data-driven algorithms: A case study on psychiatric evaluation notes
Autori: Dehghan, Azad; Kovačević, Aleksandar  ; Karystianis, George; Keane, John A; Nenadić, Goran 
Godina: 2017
Publikacija: Journal of Biomedical Informatics
ISSN: 1532-0464 Journal of Biomedical Informatics Pretraži identifikator
Izdavač: Elsevier
Tip rezultata: Naučni članak
Kolacija: vol. 75 str. S28-S33
DOI: 10.1016/j.jbi.2017.06.005
WoS-ID: 000548622100004
Scopus-ID: 2-s2.0-85020826982
PMID: 28602908
PMCID: PMC5705401
URI: https://enauka.gov.rs/handle/123456789/498667
Izvor metapodataka: Migrirano iz RIS podataka
M-kategorija: 
21M21 - Rad u vrhunskom međ. časopisu

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