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Publication details

Document type
Journal articles

Document subtype
Full paper

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

Participants in the publication
Diogo F. Soares (Author)
LASIGE
Rui Henriques (Author)
Marta Gromicho (Author)
Mamede de Carvalho (Author)
Sara C. Madeira (Author)
Dep. Informática
LASIGE

Date of Publication
2022-10

Where published
Journal of Biomedical Informatics

Publication Identifiers
ISSN - 1532-0464

Publisher
Elsevier BV

Volume
134

Starting page
104172

Document Identifiers
DOI - https://doi.org/10.1016/j.jbi.2022.104172
URL - http://dx.doi.org/10.1016/j.jbi.2022.104172

Rankings
SCIMAGO Q1 (2021) - 1.13 - Computer Science Applications
Google Metrics #8 (09/2022) - 63 - Engineering & Computer Science -> Medical Informatics
SCIMAGO Q1 (2021) - 1.13 - Health Informatics
SCIMAGO Q1 (2022) - 1.08 - Computer Science Applications


Export

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 }