Prediction of Length of Stay for Stroke Patients Using Artificial Neural Networks

AuthID
 P-00S-7TS
6
Author(s)
Neto, C
·
Brito, M
·
6
Editor(s)
Rocha,A;Adeli,H;Reis,LP;Costanzo,S;Orovic,I;Moreira,F
Document Type
Proceedings Paper
Year published
2020
Published
in Trends and Innovations in Information Systems and Technologies - Volume 1, WorldCIST 2020, Budva, Montenegro, 7-10 April 2020. in Advances in Intelligent Systems and Computing, ISSN: 2194-5357
Volume: 1159, Pages: 212-221
Conference
8Th World Conference on Information Systems and Technologies, Worldcist 2020, Date: 7 April 2020 through 10 April 2020
Indexing
Scopus®
Dblp®/en/publications/view/827225
Crossref®3
Google Scholar®
Publication Identifiers
DBLP: conf/worldcist/NetoBPLA020
SCOPUS: 2-s2.0-85085480460
Source Identifiers
ISSN: 2194-5357
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