{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/55bf45d4040041a39f14b2505047ddbb\" frameborder=\"0\" width=\"1658\" height=\"1243\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1243,"width":1658,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1243,"thumbnail_width":1658,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/55bf45d4040041a39f14b2505047ddbb-d6ea86edf635aa31.gif","duration":173.91,"title":"Injury IQ, Daily Training Injury Risk Predictor","description":"This Loom presents Injury IQ, a daily injury recovery risk predictor to help trainers decide whether an athlete should practice. It shows a morning check-in example using five inputs including sleep duration, soreness, days since last rest, prior injuries, and planned training load around 800, which yields a high risk result with a recommendation of restore active recovery only. The tool highlights the top drivers behind the risk, such as training load, sleep, and soreness. Under the hood, it uses a star schema and a logistic regression model trained on 1,500 athlete days."}