Posts tagged with ‘Injuries’

  • To Turf or Not to Turf, That is the Question [Part 2]: Applications

    By 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 Treatment

    By Mladen Jovanovic on 12/03/2017

    The recent paper by Mendiguchía, et al. “A Multifactorial, Criteria-based Progressive Algorithm for Hamstring Injury Treatment” is worth a blog piece. Here is the abstract.

  • Uncertainty, Heuristics and Injury Prediction

    By 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 Prediction

    By 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.

  • [Research Review] Training Load–Injury Paradox

    By Mladen Jovanovic on 29/06/2016

    In the following article I am reviewing very interesting article by Windt, Gabbett et al.: “Training load–injury paradox: is greater preseason participation associated with lower in-season injury risk in elite rugby league players?”.

  • R Playbook: Injury Prediction using Random Forest

    By Mladen Jovanovic on 02/11/2015

    This is the problem I have been wrestling with for some time and I tried to solve it using Bannister model. I even asked for help on Twitter and couple of data scientists suggested taking a look into “functional data analysis” or creating summary variables and performing regression/classification (which I did here).

  • Podcast #1: Groin-related pain with Žarko Vučković

    By Mladen Jovanovic on 25/08/2015

    In this first episode of Complementary Training Podcast I pick the brain of Žarko Vučković, general surgeon working at Aspetar on the topic of groin-related pain.

    We cover plenty of ground, including the different “categories” of groin-related issues (sport hernia, adductor issues, hip flexor, hip issue and so forth), screening tests and clinical examination, prevention strategies, surgery decision making, surgical…

smartabase-vertical