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A Machine Learning Approach to Finding the Fastest Race Course for Professional Athletes Competing in Ironman® 70.3 Races between 2004 and 2020.
Thuany, Mabliny; Valero, David; Villiger, Elias; Forte, Pedro; Weiss, Katja; Nikolaidis, Pantelis T; Andrade, Marília Santos; Cuk, Ivan; Sousa, Caio Victor; Knechtle, Beat.
Afiliação
  • Thuany M; Faculty of Sports, University of Porto, 4200-450 Porto, Portugal.
  • Valero D; Ultra Sports Science Foundation, 69310 Pierre-Benite, France.
  • Villiger E; Klinik für Allgemeine Innere Medizin, Kantonsspital St. Gallen, 9000 St. Gallen, Switzerland.
  • Forte P; CI-ISCE, Higher Institute of Educational Sciences of the Douro, 4560-708 Penafiel, Portugal.
  • Weiss K; Research Center in Sports, Health and Human Development, 6201-001 Covilhã, Portugal.
  • Nikolaidis PT; Department of Sport Sciences, Instituto Politécnico de Bragança, 5300-253 Bragança, Portugal.
  • Andrade MS; Institute of Primary Care, University Hospital Zurich, 8091 Zurich, Switzerland.
  • Cuk I; School of Health and Caring Sciences, University of West Attica, 12243 Athens, Greece.
  • Sousa CV; Department of Physiology, Federal University of São Paulo, São Paulo 04021-001, Brazil.
  • Knechtle B; Faculty of Sport and Physical Education, University of Belgrade, 11000 Belgrade, Serbia.
Int J Environ Res Public Health ; 20(4)2023 02 17.
Article em En | MEDLINE | ID: mdl-36834311
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Corrida / Desempenho Atlético Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans / Male Idioma: En Revista: Int J Environ Res Public Health Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Portugal
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Corrida / Desempenho Atlético Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans / Male Idioma: En Revista: Int J Environ Res Public Health Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Portugal