Effect of Time Since Baseline Data Collection, Mechanism of Injury, and Service Academy Sub-population on Concussion Risk Prediction in Military Service Academy Cadets and Midshipmen: An Observational Study
Yili Wang, Kenneth L. Cameron, Michael A. McCrea, Thomas McAllister, Steven Broglio, Mariel Lavieri, James T. Eckner, Patrick O’Donnell, Patrick O’Donnell, Kevin Bernstein, Adam Susmarski · 2026
Read Effect of Time Since Baseline Data Collection, Mechanism of Injury, and Service Academy Sub-population on Concussion Risk Prediction in Military Service Academy Cadets and Midshipmen: An Observational Study by Yili Wang, Kenneth L. Cameron, Michael A. McCrea, Thomas McAllister, Steven Broglio, Mariel Lavieri, James T. Eckner, Patrick O’Donnell, Patrick O’Donnell, Kevin Bernstein, Adam Susmarski (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13396043.txt.
Description
Yili Wang and co-authors asked how well a single baseline test day predicts concussion over the next school year for cadets and midshipmen at United States service academies. Their 2026 study uses data from the CARE Consortium, a joint project of the NCAA and the Department of Defense.
Machine learning, using a method called extreme gradient boosting, turned baseline scores into risk estimates. The authors checked how accuracy fades as months pass after testing, and whether prediction works equally for varsity and club athletes versus intramural players. They also compared blows from sport with those from military training, giving academy medical staff a clearer sense of when a baseline result still counts.
Catalog record
| CREATOR | Yili Wang, Kenneth L. Cameron, Michael A. McCrea, Thomas McAllister, Steven Broglio, Mariel Lavieri, James T. Eckner, Patrick O’Donnell, Patrick O’Donnell, Kevin Bernstein, Adam Susmarski |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 37289 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |