sj-pdf-1-ajs-10.1177_03635465221112095 – Supplemental material for Predicting ACL Injury Using Machine Learning on Data From an Extensive Screening Test Battery of 880 Female Elite Athletes ...

• Main Authors: Jauhiainen, Susanne, Kauppi, Jukka-Pekka, Krosshaug, Tron, Bahr, Roald, Bartsch, Julia, Äyrämö, Sami
• Format: Text
• Language: unknown
• Published: SAGE Journals 2022
• Subjects: 110314 Orthopaedics; FOS: Clinical medicine; 110604 Sports Medicine; FOS: Health sciences; 110323 Surgery; Jukka; Pekka; sami
• Online Access: https://dx.doi.org/10.25384/sage.20521915.v1; https://sage.figshare.com/articles/journal_contribution/sj-pdf-1-ajs-10_1177_03635465221112095_Supplemental_material_for_Predicting_ACL_Injury_Using_Machine_Learning_on_Data_From_an_Extensive_Screening_Test_Battery_of_880_Female_Elite_Athletes/20521915/1

Supplemental material, sj-pdf-1-ajs-10.1177_03635465221112095 for Predicting ACL Injury Using Machine Learning on Data From an Extensive Screening Test Battery of 880 Female Elite Athletes by Susanne Jauhiainen, Jukka-Pekka Kauppi, Tron Krosshaug, Roald Bahr, Julia Bartsch and Sami Äyrämö in The American Journal of Sports Medicine ...