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Prediction Models for Polycystic Ovary Syndrome Using Data Mining
AuthID
P-00T-RJK
5
Author(s)
Neto, C
·
Silva, M
·
Fernandes, M
·
Ferreira, D
·
Machado, J
1
Editor(s)
Antipova,T
Document Type
Proceedings Paper
Year published
2021
Published
in
Advances in Intelligent Systems and Computing,
ISSN: 2194-5357
Volume: 1352, Pages: 210-221
Conference
International Conference on Advances in Digital Science, Icads 2021,
Date:
19 February 2021 through 21 February 2021
Indexing
Scopus
®
Crossref
®
6
Google Scholar
®
Metadata
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Publication Identifiers
DOI
:
10.1007/978-3-030-71782-7_19
Scopus
: 2-s2.0-85103521052
Source Identifiers
ISSN
: 2194-5357
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