Publications

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

AuthID
P-00S-7TS

Author(s)

Neto, C

Brito, M

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^®

Metadata
Sources

Publication Identifiers

DOI: 10.1007/978-3-030-45688-7_22

Dblp: conf/worldcist/NetoBPLA020

Scopus: 2-s2.0-85085480460

Source Identifiers

ISSN: 2194-5357

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

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