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Improving the Prediction of Age of Onset of Ttr-Fap Patients Using Graph-Embedding Features

AuthID
P-00X-4SK

Author(s)

Pedroto, M

Jorge, A

Mendes Moreira, J

Coelho, T

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: 183-194 (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

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Sources

Publication Identifiers

DOI: 10.1007/978-3-031-16474-3_16

Dblp: conf/epia/PedrotoJMC22

Scopus: 2-s2.0-85138751787

Wos: WOS:000869745400016

Source Identifiers

ISSN: 0302-9743

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Improving the Prediction of Age of Onset of Ttr-Fap Patients Using Graph-Embedding Features

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