Computer-Assisted Quantitative Analysis of Skeletal Muscles of Snowboarding Parallel Giant Slalom Athletes after Exercise Based on Artificial Intelligence and Complex Networks by Haiqiang Yu, Fei Yang, Jin Wang

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Predicting competitive alpine skiing performance by multivariable statistics—the need for individual profiling by Robert Nilsson, Apostolos Theos, Ann-Sofie Lindberg, Christer Malm

“…Physiological test results from a total of twelve (n = 12) world-class female skiers were included in the analysis.ResultsThe result on goodness of regression (R2) and goodness of prediction (Q2) in this study indicate that valid Orthogonal Projection to Latent Structures (OPLS) models for both Slalom and Giant Slalom can be generated (R2 = 0.39 to 0.40, Q2 = 0.21 to 0.15), but also that competition performance still cannot be predicted at a group level (low Q2). …”
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