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Analysis of the 72-h ultramarathon using a predictive XG Boost model.

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Title: Analysis of the 72-h ultramarathon using a predictive XG Boost model.
Authors: Knechtle, Beat1,2,3 (AUTHOR) beat.knechtle@hispeed.ch, Villiger, Elias2,3 (AUTHOR) evilliger@gmail.com, Weiss, Katja2,3 (AUTHOR) katja@weiss.co.com, Valero, David3,4 (AUTHOR) dalevalero@gmail.com, Gajda, Robert3,5 (AUTHOR) gajda@gajdamd.pl, Scheer, Volker3,4 (AUTHOR) volkerscheer@yahoo.com, de Lira, Claudio Andre Barbosa3,6 (AUTHOR) andre.claudio@gmail.com, Braschler, Lorin3,7 (AUTHOR) lorin.braschler@gmail.com, Nikolaidis, Pantelis T.3,8 (AUTHOR) pademil@hotmail.com, Vancini, Rodrigo Luiz3,9 (AUTHOR) rodrigoluizvancini@gmail.com, Cuk, Ivan3,10 (AUTHOR) ivan_cuk84@yahoo.com, Rosemann, Thomas2,3 (AUTHOR) thomas.rosemann@usz.ch, Thuany, Mabliny3,8 (AUTHOR) mablinysantos@gmail.com
Source: Sport Sciences for Health. Mar2025, Vol. 21 Issue 1, p181-194.
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  Data: <searchLink fieldCode="JN" term="%22Sport+Sciences+for+Health%22">Sport Sciences for Health</searchLink>. Mar2025, Vol. 21 Issue 1, p181-194.
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              Text: Mar2025
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