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Predicting clinical events characterizing the progression of amyotrophic lateral sclerosis via machine learning approaches using routine visits data: a feasibility study

Crossref DOI link: https://doi.org/10.1186/s12911-024-02719-5

Published Online: 2024-10-29

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Guazzo, Alessandro

Atzeni, Michele

Idi, Elena

Trescato, Isotta

Tavazzi, Erica

Longato, Enrico

Manera, Umberto

Chió, Adriano

Gromicho, Marta

Alves, Inês

de Carvalho, Mamede

Vettoretti, Martina

Di Camillo, Barbara https://orcid.org/0000-0001-8415-4688
Funding

Funding for this research was provided by:

HORIZON EUROPE Health (GA01017598)
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Text and Data Mining valid from 2024-10-29

Version of Record valid from 2024-10-29
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Article History

Received: 20 February 2024

Accepted: 10 October 2024

First Online: 29 October 2024

Declarations

:

: The BRAINTEASER Project was approved in July 2021 by the Ethics Committees Lisbon Medical Academic Center (Protocol number 162/2021) and AOU Cittá della Salute e della Scienza di Torino (Protocol number 0079511).

: Not applicable.

: The authors declare no competing interests.

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