42 min listen
Predicting Injury with ML | VAA and Spin Efficiency Model Updates | Force Plate Reliability | Driveline R&D Podcast Ep 41
Predicting Injury with ML | VAA and Spin Efficiency Model Updates | Force Plate Reliability | Driveline R&D Podcast Ep 41
ratings:
Length:
71 minutes
Released:
Dec 1, 2020
Format:
Podcast episode
Description
Episode 41 of the Driveline R&D Podcast with Anthony Brady, Alex Caravan, and Kyle Lindley!
OG Cast is back! Caravan, Brady, and Lindley talk about some work and life updates, updates to vertical approach angle and spin efficiency models that we use in-house for sabermetric analyses, some jump testing reliability and high performance KPIs, and lastly we review an article that looked into using machine learning for predicting future injuries for both position players and pitchers using public data. Join us on YouTube to catch freshly shaven Caravan put his hair down before he cuts it all off in 2021! Enjoy!
Link to article we are discussing:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7672741/
Link to the hosts' Twitters:
Alex Caravan: https://twitter.com/Alex_Caravan
Anthony Brady: https://twitter.com/BaseballFreak_9
Kyle Lindley: https://twitter.com/kylelindley_
OG Cast is back! Caravan, Brady, and Lindley talk about some work and life updates, updates to vertical approach angle and spin efficiency models that we use in-house for sabermetric analyses, some jump testing reliability and high performance KPIs, and lastly we review an article that looked into using machine learning for predicting future injuries for both position players and pitchers using public data. Join us on YouTube to catch freshly shaven Caravan put his hair down before he cuts it all off in 2021! Enjoy!
Link to article we are discussing:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7672741/
Link to the hosts' Twitters:
Alex Caravan: https://twitter.com/Alex_Caravan
Anthony Brady: https://twitter.com/BaseballFreak_9
Kyle Lindley: https://twitter.com/kylelindley_
Released:
Dec 1, 2020
Format:
Podcast episode
Titles in the series (98)
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