Open AccessLinear Discriminant Analysis Successfully Predicts Knee Injury Outcome From Biomechanical Variables
Author(s) -
Nathan D. Schilaty,
Nathaniel A. Bates,
Sydney Kruisselbrink,
Aaron J. Krych,
Timothy E. Hewett
Publication year - 2020
Publication title -
the american journal of sports medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.021
H-Index - 221
eISSN - 1552-3365
pISSN - 0363-5465
DOI - 10.1177/0363546520939946
Subject(s) - acl injury , anterior cruciate ligament , meniscus , biomechanics , linear discriminant analysis , knee joint , cadaveric spasm , kinematics , orthodontics , medicine , biomedical engineering , mathematics , surgery , physics , statistics , anatomy , geometry , classical mechanics , incidence (geometry)
The most commonly damaged structures of the knee are the anterior cruciate ligament (ACL), medial collateral ligament (MCL), and menisci. Given that these injuries present as either isolated or concomitant, it follows that these events are driven by specific mechanics versus coincidence. This study was designed to investigate the multiplanar mechanisms and determine the important biomechanical and demographic factors that contribute to classification of the injury outcome.