Prediction of plasma volume and total hemoglobin mass with machine learning.

Moreillon, B; Krumm, B; Saugy, J J; Saugy, M; Botrè, F; Vesin, J M; Faiss, R

Moreillon, B; Krumm, B; Saugy, J J; Saugy, M; Botrè, F; Vesin, J M; Faiss, R.

Afiliación

Moreillon B; Research and Expertise in anti-Doping Sciences (REDs), Institute of Sport Sciences, University of Lausanne, Lausanne, Switzerland.
Krumm B; Union Cycliste Internationale, World Cycling Centre, Aigle, Switzerland.
Saugy JJ; Research and Expertise in anti-Doping Sciences (REDs), Institute of Sport Sciences, University of Lausanne, Lausanne, Switzerland.
Saugy M; Research and Expertise in anti-Doping Sciences (REDs), Institute of Sport Sciences, University of Lausanne, Lausanne, Switzerland.
Botrè F; Research and Expertise in anti-Doping Sciences (REDs), Institute of Sport Sciences, University of Lausanne, Lausanne, Switzerland.
Vesin JM; Research and Expertise in anti-Doping Sciences (REDs), Institute of Sport Sciences, University of Lausanne, Lausanne, Switzerland.
Faiss R; Laboratorio Antidoping, Federazione Medico Sportiva Italiana, Rome, Italy.

Physiol Rep ; 11(19): e15834, 2023 Oct.

Article en En | MEDLINE | ID: mdl-37828664

Asunto(s)

Anemia; Doping en los Deportes; Masculino; Humanos; Femenino; Volumen Plasmático; Hemoglobinas/análisis; Antropometría

Palabras clave

blood; machine learning; plasma volume; prediction; total hemoglobin mass

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Doping en los Deportes / Anemia Límite: Female / Humans / Male Idioma: En Revista: Physiol Rep Año: 2023 Tipo del documento: Article País de afiliación: Suiza Pais de publicación: Estados Unidos

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