Prediction Models for Polycystic Ovary Syndrome Using Data Mining

AuthID
 P-00T-RJK
5
Author(s)
Neto, C
·
Silva, M
·
Fernandes, M
·
Ferreira, D
·
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®
Publication Identifiers
Scopus: 2-s2.0-85103521052
Source Identifiers
ISSN: 2194-5357
Export Publication Metadata
Marked List
 Add to Marked List
Info
At this moment we don't have any links to full text documens.

A place for researchers and their institutions

Useful Links

Get Help

© 2024 CRACS & Inesc TEC - All Rights Reserved Privacy Policy | Terms of Service