Toggle navigation
Publicações
Investigadores
Instituições
0
Entrar
Autenticação Federada
(Click on the image)
Autenticação local
Recuperação de Password
Register
Entrar
Publicações
Procurar
Estatísticas
Determining Internal Medicine Length of Stay by Means of Predictive Analytics
AuthID
P-00X-93G
8
Author(s)
Peixoto, D
·
Faria, M
·
Macedo, R
·
Peixoto, H
·
Lopes, J
·
Barbosa, A
·
Guimaraes, T
·
Santos, MF
5
Editor(s)
Marreiros,G;Martins,B;Paiva,A;Ribeiro,B;Sardinha,A
Document Type
Proceedings Paper
Year published
2022
Published
in
PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2022
in
Lecture Notes in Artificial Intelligence,
ISSN: 0302-9743
Volume: 13566, Pages: 171-182 (12)
Conference
21St Epia Conference on Artificial Intelligence (Epia),
Date:
AUG 31-SEP 02, 2022,
Location:
Univ Lisbon, Lisbon, PORTUGAL,
Sponsors:
EPIA,
Host:
Univ Lisbon
Indexing
Wos
®
Scopus
®
Crossref
®
1
Google Scholar
®
Metadata
Sources
Publication Identifiers
DOI
:
10.1007/978-3-031-16474-3_15
Scopus
: 2-s2.0-85138729157
Wos
: WOS:000869745400015
Source Identifiers
ISSN
: 0302-9743
Export Publication Metadata
Export
×
Publication Export Settings
BibTex
EndNote
APA
Export Preview
Lista
Marked
Adicionar à lista
Marked
Info
At this moment we don't have any links to full text documens.
×
Select Source
This publication has:
2 records from
ISI
2 records from
SCOPUS
2 records from
DBLP
2 records from
Unpaywall
Please select which records must be used by Authenticus!
×
Preview Publications
© 2024 CRACS & Inesc TEC - All Rights Reserved
Privacy Policy
|
Terms of Service