Importance of anthropometric features to predict physical performance in elite youth soccer: a machine learning approach-Reference-Cited by-同舟云学术

Importance of anthropometric features to predict physical performance in elite youth soccer: a machine learning approach

Published:2020-08-23 Issue:3 Volume:29 Page:213-224
ISSN:1543-8627
Container-title:Research in Sports Medicine
language:en
Short-container-title:Research in Sports Medicine

Author:

Bongiovanni Tindaro¹,Trecroci Athos²,Cavaggioni Luca²³,Rossi Alessio⁴,Perri Enrico²,Pasta Giulio⁵,Iaia F. Marcello²^ORCID,Alberti Giampietro²

Affiliation:

1. Nutrition, Hydration & Body Composition Department, Parma Calcio 1913, Parma, Italy

2. Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milano, Italy

3. Department of Endocrine and Metabolic Diseases, IRCCS Istituto Auxologico Italiano, Obesity Unit and Laboratory of Nutrition and Obesity Research, Milan, Italy

4. Department of Computer Science, University of Pisa, Pisa, Italy

5. Medical Department, Parma Calcio 1913, Parma, Italy

Publisher

Informa UK Limited

Subject

Physical Therapy, Sports Therapy and Rehabilitation,Orthopedics and Sports Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/15438627.2020.1809410

Reference33 articles.

1. Absolute size and proportionality characteristics of World Championship female basketball players

2. Carbohydrate Intake and Multiple Sprint Sports: With Special Reference to Football (Soccer)

3. The Yo-Yo Intermittent Recovery Test

4. Functional Movement Patterns and Body Composition of High-Level Volleyball, Soccer, and Rugby Players

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