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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.

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Title: Predicting clinical events characterizing the progression of amyotrophic lateral sclerosis via machine learning approaches using routine visits data: a feasibility study.
Authors: Guazzo, Alessandro1 (AUTHOR), Atzeni, Michele1 (AUTHOR), Idi, Elena1 (AUTHOR), Trescato, Isotta1 (AUTHOR), Tavazzi, Erica1 (AUTHOR), Longato, Enrico1 (AUTHOR), Manera, Umberto2 (AUTHOR), Chió, Adriano2 (AUTHOR), Gromicho, Marta3 (AUTHOR), Alves, Inês3 (AUTHOR), de Carvalho, Mamede3 (AUTHOR), Vettoretti, Martina1 (AUTHOR), Di Camillo, Barbara1,4 (AUTHOR) barbara.dicamillo@unipd.it
Source: BMC Medical Informatics & Decision Making. 10/29/2024, Vol. 24 Issue 1, p1-15. 15p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22BMC+Medical+Informatics+%26+Decision+Making%22">BMC Medical Informatics & Decision Making</searchLink>. 10/29/2024, Vol. 24 Issue 1, p1-15. 15p.
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        Value: 10.1186/s12911-024-02719-5
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              Text: 10/29/2024
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