Een Machine-Learning Benadering om Belasting en Loopgerelateerde Blessures te Voorspellen op basis van Data van Wearables

Running-related overuse injuries (RROIs) impose a substantial burden on the running population, and preventing their occurrence remains an important challenge. The overall aim of this PhD project is to advance the prevention of RROIs by developing load monitoring and injury prediction models suited for real-world running conditions. Load plays a crucial role in RROI development. However, traditional load estimation methods are confined to laboratory settings, preventing continuous load monitorin