Data Mining to Predict Early Stage Chronic Kidney Disease

AuthID
 P-00T-CY9
5
Author(s)
Pinto, A
·
Ferreira, D
·
Neto, C
·
2
Editor(es)
Shakshuki,EM;Haque Yasar,AU
Tipo de Documento
Proceedings Paper
Year published
2020
Publicado
in The 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2020) / The 10th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2020) / Affiliated Workshops, Madeira, Portugal, November 2-5, 2020. in Procedia Computer Science, ISSN: 1877-0509
Volume: 177, Páginas: 562-567
Conference
11Th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, Euspn 2020, Date: 2 November 2020 through 5 November 2020
Indexing
Scopus®
Dblp®/pt/publications/view/865225
Crossref®5
Google Scholar®
Publication Identifiers
DBLP: conf/euspn/PintoFNAM20
SCOPUS: 2-s2.0-85099880679
Source Identifiers
ISSN: 1877-0509
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