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Detalhes Referência

Tipo
Artigos em Revista

Tipo de Documento
Artigo Completo

Título
Learning prognostic models using a mixture of biclustering and triclustering: Predicting the need for non-invasive ventilation in Amyotrophic Lateral Sclerosis

Participantes na publicação
Diogo F. Soares (Author)
LASIGE
Rui Henriques (Author)
Marta Gromicho (Author)
Mamede de Carvalho (Author)
Sara C. Madeira (Author)
Dep. Informática
LASIGE

Data de Publicação
2022-10

Suporte
Journal of Biomedical Informatics

Identificadores da Publicação
ISSN - 1532-0464

Editora
Elsevier BV

Volume
134

Página Inicial
104172

Identificadores do Documento
DOI - https://doi.org/10.1016/j.jbi.2022.104172
URL - http://dx.doi.org/10.1016/j.jbi.2022.104172

Identificadores de Qualidade
Google Metrics #8 (09/2022) - 63 - Engineering & Computer Science -> Medical Informatics
SCIMAGO Q1 (2022) - 1.08 - Computer Science Applications
SCIMAGO Q1 (2022) - 1.08 - Health Informatics


Exportar referência

APA
Diogo F. Soares, Rui Henriques, Marta Gromicho, Mamede de Carvalho, Sara C. Madeira, (2022). Learning prognostic models using a mixture of biclustering and triclustering: Predicting the need for non-invasive ventilation in Amyotrophic Lateral Sclerosis. Journal of Biomedical Informatics, 134, ISSN 1532-0464. eISSN . http://dx.doi.org/10.1016/j.jbi.2022.104172

IEEE
Diogo F. Soares, Rui Henriques, Marta Gromicho, Mamede de Carvalho, Sara C. Madeira, "Learning prognostic models using a mixture of biclustering and triclustering: Predicting the need for non-invasive ventilation in Amyotrophic Lateral Sclerosis" in Journal of Biomedical Informatics, vol. 134, 2022. 10.1016/j.jbi.2022.104172

BIBTEX
@article{55850, author = {Diogo F. Soares and Rui Henriques and Marta Gromicho and Mamede de Carvalho and Sara C. Madeira}, title = {Learning prognostic models using a mixture of biclustering and triclustering: Predicting the need for non-invasive ventilation in Amyotrophic Lateral Sclerosis}, journal = {Journal of Biomedical Informatics}, year = 2022, volume = 134 }