Search Results - "Prognose"

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  1. 1

    Beyond training: A personalized holistic injury prediction in triathletes

    Rossi, L., Rodrigues, B. “…Prognose…”
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  2. 2

    Modelling of performance prediction by analysis of elite swimmers` anthropometry, peak performance age and age-related performance progression

    Nazari Mehrabi, A., Imani, H., Khademnoe, O., Khantan, M., Lundberg, T. R., Gorzi, A.
    Published in PLOS ONE (2025)
    “…Prognose…”
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  3. 3

    An analysis of the 6-h ultra-marathon race using a machine learning approach

    Thuany, M., Weiss, K., Valero, D., Villiger, E., Andrade, M. S., Nikolaidis, P. T., Scheer, V., de Lira, C. A. B., Vancini, R. L., Cuk, I., Braschler, L., Rosemann, T., Knechtle, B. “…Prognose…”
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  4. 4

    Utilising competition participation history at youth age to forecast dropout risk and sporting success likelihoods in competitive swimming

    Masismadi, N. A., Wylde, M., Huynh, M., Gastin, P. B., Chia, E., Suppiah, H. T. “…Prognose…”
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  5. 5

    Strength as a predictor of aerobic power in competitive cyclists: national team insights

    Javaloyes, A., Sánchez-Muñoz, C., Salas-Montoro, J. A., Moya-Ramón, M., Mateo-March, M. “…Prognose…”
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  6. 6

    Optimal body mass normalization of power output for accurate prediction of estimated cycling performance over complex time-trial courses

    Horvath, M., Andersson, E. P. “…Prognose…”
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  7. 7

    Performance prediction criteria based on yearling training cycle data for world-class athletes` tiny 1000-meter kayak teams: A case study

    Dadelo, S., Nekriošius, R., Dadeliene, R.
    Published in Life (2025)
    “…Prognose…”
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  8. 8

    W' reconstitution modelling during intermittent exercise performed to task failure

    Welburn, A. J., Pugh, C. F., Bailey, S. J., Ferguson, R. A. “…Prognose…”
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  9. 9

    Using multilevel models to compare performance prediction and characterization abilities between power-law and critical-speed models in middle- and long-distance running

    Walt, M., Casado, A., Le Goff, J.-M. “…Prognose…”
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  10. 10

    Beyond pace: predicting 1500m freestyle times with multi-feature random forests

    Russomanno, T. “…Prognose…”
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  11. 11

    Enhanced durability predicts success in amateur road cycling: evidence of power output declines

    Barsumyan, A., Soost, C., Burchard, R. “…Prognose…”
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  12. 12

    Comparison of the results of the 15-meter sprint swimming (TT-15) with the results of the hundred-meter race for professional swimmers: potential and limits of applicability of the...

    Zaitsev, V. S., Molina, I. “…Prognose…”
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  13. 13

    The fourth dimension: physiological resilience as an independent determinant of endurance exercise performance

    Jones, A. M.
    Published in Journal of Physiology (2024)
    “…Prognose…”
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  14. 14

    What it takes to win: examining predicted versus actual swimming performances at the Paris 2024 Olympic Games, and what comes next

    Powell, C, Pyne, D, Crowley, E, Mujika, I. “…Prognose…”
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  15. 15

    Can ground reaction force variables preidentify the probability of a musculoskeletal injury in collegiate distance runners?

    Stewart, H. E., Alcantara, R. S., Farina, K. A., Hahn, M. E., Grabowski, A. M., Kram, R., Wilcox, R. R., McNitt-Gray, J. L.
    Published in Journal of Applied Biomechanics (2025)
    “…Prognose…”
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  16. 16

    Accuracy of smartwatches in predicting distance running performance

    Dai, J., Chen, G., Gu, Z., Qi, Y., Xu, K. “…Prognose…”
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  17. 17

    Validity of a machine learning estimation of blood volumes during altitude training

    Moreillon, B., Krumm, B., Mettraux, L., Wackernell, J., Spragg, J., Faulhaber, M., Faiss, R.
    Published in Current Issues in Sport Science (2025)
    “…Prognose…”
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  18. 18

    Enhancing endurance performance predictions: the role of movement velocity in metabolic simulations demonstrated by cycling cadence

    Dunst, A. K., Hesse, C., Ueberschär, O. “…Prognose…”
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  19. 19

    Predicting the potential of middle- and long-distance track runners by evaluating the performance improvement rate

    Lerebourg, L., Guignard, B., L´Hermette, M., Coquart, J. B. “…Prognose…”
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  20. 20

    A novel approach of modelling and predicting track cycling sprint performance

    Dunst, A. K., Grüneberger, R.
    Published in Applied Sciences (2021)
    “…Prognose…”
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