Predicting Non-contact Hamstring Injuries by Using Training Load Data and Machine Learning ModelsBy Mladen Jovanovic on 17/12/2018
Research has shown that there is an association between training load and likelihood of suffering non-contact injuries. But can we predict the injury? In this paper I have tried to predict non-contact hamstring injury by using two seasons day-to-day training load data.7
Rehabilitation After ACL Injury: The Return to Sport JourneyBy Bart Dingenen on 20/09/2018
In this video, I present an overview of examples of exercises during the rehab process, beginning from the ACL injury, until full return to sport in our rehab center Motion to Balance, Genk, Belgium.
Managing Teams With TrelloBy Mladen Jovanovic on 24/10/2017
I am pretty certain that the first one to suggest using Trello (somewhere in 2013) was Jose Fernandez from Houston Astros. Jose is pretty much technology clairvoyant. Another person that directed me to use Paul Dijkstra et al. five-color health and performance risk grading system 1 (see the below picture) was Brian Green from USA Rugby Sevens. We keep...
So you can predict the future… But can you change it?By Mladen Jovanovic on 11/10/2017
I also love to call this problem “Terminator Problem”, since it is more understandable to coaches, since most of them have seen Terminator movies. The issue is, once we are able to “predict” the future (for example estimating injury likelihood in the next 7 days), can we actually change it?
Latest on Load Monitoring [Video & FREE Templates]By Sean Williams on 28/09/2017
Sean Williams was kind enough to provide short review of the recent load monitoring workshop, held at the World Rugby Science Network Conference, as well as to provide full slides and Excel templates. This is tremendous resource for those interested in injury prediction analytics.
To Turf or Not to Turf, That is the Question [Part 2]: ApplicationsBy Mladen Jovanovic on 26/07/2017
In this video I am deploying the model to make the decision between 5 variations of weekly plan. The goal is to minimize the morning soreness on the day of the game.
To Turf or Not to Turf, That is the Question [Part 1]By Mladen Jovanovic on 05/07/2017
In this video I am presenting my “solution” to the problem and provide fake data set, as well as R code for analyzing the data. Having decent predictive model can help us run different optimization algorithms to find the “best” scheduling to minimize/maximize injury risk or performance.
Hamstring Injury TreatmentBy Mladen Jovanovic on 12/03/2017
Given the prevalence of hamstring injuries in football, a rehabilitation program that effectively promotes muscle tissue repair and functional recovery is paramount to minimize re-injury risk and optimize player performance and availability.
Uncertainty, Heuristics and Injury PredictionBy Mladen Jovanovic on 07/03/2017
I was asked by Rod Whiteley and Nicol van Dyk to contribute to the Aspetar Journal targeted topic issue that just got released off the press. I tried to combine my knowledge of predictive analytics, machine learning, philosophy of science, heuristics and practical experience as coach & sport scientist into one article. Hopefully I managed to create readable narrative.
Thoughts on Injury PredictionBy Mladen Jovanovic on 08/12/2016
In the following article, I am discussing the famous “J” curve in injury prediction, as well as simulate some data to show how that curve is estimated. I also show the distinction between association and prediction, as well as how to make training decisions based on the different costs of committing false positive and false negative errors.