Examinando por Autor "Roby, Matías"

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    Explainable Machine Learning Techniques to Predict Muscle Injuries in Professional Soccer Players through Biomechanical Analysis
    (MDPI, 2024-01) Calderón-Díaz, Mailyn; Silvestre Aguirre, Rony; Vásconez, Juan P.; Yáñez, Roberto; Roby, Matías; Querales, Marvin; Salas, Rodrigo
    There is a significant risk of injury in sports and intense competition due to the demanding physical and psychological requirements. Hamstring strain injuries (HSIs) are the most prevalent type of injury among professional soccer players and are the leading cause of missed days in the sport. These injuries stem from a combination of factors, making it challenging to pinpoint the most crucial risk factors and their interactions, let alone find effective prevention strategies. Recently, there has been growing recognition of the potential of tools provided by artificial intelligence (AI). However, current studies primarily concentrate on enhancing the performance of complex machine learning models, often overlooking their explanatory capabilities. Consequently, medical teams have difficulty interpreting these models and are hesitant to trust them fully. In light of this, there is an increasing need for advanced injury detection and prediction models that can aid doctors in diagnosing or detecting injuries earlier and with greater accuracy. Accordingly, this study aims to identify the biomarkers of muscle injuries in professional soccer players through biomechanical analysis, employing several ML algorithms such as decision tree (DT) methods, discriminant methods, logistic regression, naive Bayes, support vector machine (SVM), K-nearest neighbor (KNN), ensemble methods, boosted and bagged trees, artificial neural networks (ANNs), and XGBoost. In particular, XGBoost is also used to obtain the most important features. The findings highlight that the variables that most effectively differentiate the groups and could serve as reliable predictors for injury prevention are the maximum muscle strength of the hamstrings and the stiffness of the same muscle. With regard to the 35 techniques employed, a precision of up to 78% was achieved with XGBoost, indicating that by considering scientific evidence, suggestions based on various data sources, and expert opinions, it is possible to attain good precision, thus enhancing the reliability of the results for doctors and trainers. Furthermore, the obtained results strongly align with the existing literature, although further specific studies about this sport are necessary to draw a definitive conclusion.
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    Pain Decrement Using Radiofrequency Therapy After Knee Platelet-Rich Plasma Injections Within First 72 h in Active Populations with Patellar Chondropathy
    (Journal of Clinical Medicine, Volume 14, Issue 2January 2025 Article number 544, 2025) Abat, Ferran; Torras, Jordi; Garcia, Alba; Jordán, Enrique; Roby, Matías; Yáñez, Roberto; De la Fuente, Carlos
    Objective: To determine whether 448 kHz capacitive-resistive monopolar radiofrequency (CRMR) after platelet-rich-plasma (PRP) injections can further reduce pain sensation within the first 72 h in an active population with patellar chondropathy. Methods: One-hundred fifty-three active patients with patellar chondropathy grade II-III were followed for three days after PRP injections with and without CRMR under a control–placebo study. They were clinically evaluated for pain sensation using a visual analog scale ranging from zero (no pain sensation) to ten (highest pain sensation). Pain sensation was described using medians and analyzed through the Friedman and Conover test for within-group comparison (pre-intervention, and 24, 48, and 72 h post-intervention) and the Mann–Whitney test for between-group comparisons (Intervention vs. Placebo) with α = 5% and 1−β = 80%. Results: The placebo group showed statistical significance between pre-intervention and 24 h (Δ = −2.0 pts, p < 0.001), baseline and 48 h (Δ = −2.0 pts, p < 0.001), baseline and 72 h (Δ = −3.0 pts, p < 0.001), 24 h and 48 h (Δ = 0.0 pts, p < 0.016), and 24 h and 72 h (Δ = −1.0 pts, p < 0.001). The radiofrequency group showed statistical significance between baseline and 24 h (Δ = −7.0 pts, p < 0.001), baseline and 48 h (Δ = −7.0 pts, p < 0.001), baseline and 72 h (Δ = −8.0 pts, p < 0.001), 24 h and 72 h (Δ = −1.0 pts, p < 0.001), and 48 h and 72 h (Δ = −1.0 pts, p < 0.001). The placebo and radiofrequency groups were significantly different at 24 h (Δ = 4.0 pts, p < 0.001), 48 h (Δ = 4.0 pts, p < 0.001), and 72 h (Δ = 4.0 pts, p < 0.001). Conclusions: CRMR therapy administered after knee intra-articular injections of PRP within the first 72 h in active populations with patellar chondropathy reduces pain sensation with a median difference of 8.0 pts compared to baseline and 4.0 pts compared to placebo group. © 2025 by the authors.