Automatically Detect Diagnostic Patterns Based on Clinical Notes Through Text Mining

AuthID
 P-00R-QW0
4
Author(s)
3
Editor(s)
Shakshuki, E; Yasar, A; Malik, H
Document Type
Proceedings Paper
Year published
2019
Published
in 10TH INT CONF ON EMERGING UBIQUITOUS SYST AND PERVAS NETWORKS (EUSPN-2019) / THE 9TH INT CONF ON CURRENT AND FUTURE TRENDS OF INFORMAT AND COMMUN TECHNOLOGIES IN HEALTHCARE (ICTH-2019) / AFFILIATED WORKOPS in Procedia Computer Science, ISSN: 1877-0509
Volume: 160, Pages: 684-689 (6)
Conference
10Th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (Euspn) / 9Th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (Icth), Date: NOV 04-07, 2019, Location: Coimbra, PORTUGAL
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Wos®
Scopus®
Dblp®/en/publications/view/810880
Crossref®4
Google Scholar®
Publication Identifiers
DBLP: conf/euspn/RibeiroDPS19
SCOPUS: 2-s2.0-85079088632
Wos: WOS:000515510100098
Source Identifiers
ISSN: 1877-0509
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