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Identifying Diabetic Patient Profile Through Machine Learning-Based Clustering Analysis
AuthID
P-00Y-Q5G
4
Author(s)
Gomes, J
·
Lopes, J
·
Guimaraes, T
·
Santos, MF
1
Editor(s)
Shakshuki,E
Document Type
Proceedings Paper
Year published
2023
Published
in
Procedia Computer Science,
ISSN: 1877-0509
Volume: 220, Pages: 862-867 (5)
Conference
14Th International Conference on Ambient Systems, Networks and Technologies Networks, Ant 2023 and The 6Th International Conference on Emerging Data and Industry 4.0, Edi40 2023,
Date:
15 March 2023 through 17 March 2023,
Location:
Leuven
Indexing
Scopus
®
Crossref
®
1
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®
Metadata
Sources
Publication Identifiers
DOI
:
10.1016/j.procs.2023.03.116
SCOPUS
: 2-s2.0-85164517429
Source Identifiers
ISSN
: 1877-0509
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