Predict Sepsis Level in Intensive Medicine - Data Mining Approach

AuthID
 P-008-AC8
6
Author(s)
4
Editor(s)
Rocha, A; Correia, AM; Wilson, T; Stroetmann, KA
Document Type
Proceedings Paper
Year published
2013
Published
in ADVANCES IN INFORMATION SYSTEMS AND TECHNOLOGIES in Advances in Intelligent Systems and Computing, ISSN: 2194-5357
Volume: 206, Pages: 201-211 (11)
Conference
World Conference on Information Systems and Technologies (Worldcist), Date: MAR 27-30, 2013, Location: Olhao, PORTUGAL, Sponsors: Iberian Assoc Informat Syst & Technologies
Indexing
Wos®
Scopus®
Dblp®/pt/publications/view/272776
Crossref®5
Google Scholar®
Publication Identifiers
Dblp: conf/worldcist/GoncalvesPSSMA13
Scopus: 2-s2.0-84876221428
Wos: WOS:000354617500019
Source Identifiers
ISSN: 2194-5357
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