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Publication details

Document type
Journal articles

Document subtype
Full paper

Title
Explainable Models of Disease Progression in ALS: Learning from Longitudinal Clinical Data with Recurrent Neural Networks and Deep Model Explanation

Participants in the publication
Marcel Müller (Author)
Marta Gromicho (Author)
Mamede de Carvalho (Author)
Sara C. Madeira (Author)
Dep. Informática
LASIGE - LASIGE

Scope
International

Refereeing
Yes

Date of Publication
2021-07

Where published
Computer Methods and Programs in Biomedicine Update

Publication Identifiers
ISSN - 2666-9900

Publisher
Elsevier BV

Starting page
100018

Document Identifiers
DOI - https://doi.org/10.1016/j.cmpbup.2021.100018
URL - http://dx.doi.org/10.1016/j.cmpbup.2021.100018


Export

APA
Marcel Müller, Marta Gromicho, Mamede de Carvalho, Sara C. Madeira, (2021). Explainable Models of Disease Progression in ALS: Learning from Longitudinal Clinical Data with Recurrent Neural Networks and Deep Model Explanation. Computer Methods and Programs in Biomedicine Update, ISSN 2666-9900. eISSN . http://dx.doi.org/10.1016/j.cmpbup.2021.100018

IEEE
Marcel Müller, Marta Gromicho, Mamede de Carvalho, Sara C. Madeira, "Explainable Models of Disease Progression in ALS: Learning from Longitudinal Clinical Data with Recurrent Neural Networks and Deep Model Explanation" in Computer Methods and Programs in Biomedicine Update, 2021. 10.1016/j.cmpbup.2021.100018

BIBTEX
@article{52060, author = {Marcel Müller and Marta Gromicho and Mamede de Carvalho and Sara C. Madeira}, title = {Explainable Models of Disease Progression in ALS: Learning from Longitudinal Clinical Data with Recurrent Neural Networks and Deep Model Explanation}, journal = {Computer Methods and Programs in Biomedicine Update}, year = 2021, }