The Clinical Application of Machine Learning Models for Risk Analysis of Ramp Lesions in Anterior Cruciate Ligament Injuries.

Park, Yong-Beom; Kim, Hyojoon; Lee, Han-Jun; Baek, Suk-Ho; Kwak, Il-Youp; Kim, Seong Hwan

Park, Yong-Beom; Kim, Hyojoon; Lee, Han-Jun; Baek, Suk-Ho; Kwak, Il-Youp; Kim, Seong Hwan.

Afiliación

Park YB; Department of Orthopedic Surgery, Chung-Ang University Hospital, Seoul, Republic of Korea.
Kim H; Department of Computer Science, Princeton University, Princeton, New Jersey, USA.
Lee HJ; Department of Orthopedic Surgery, Chung-Ang University Hospital, Seoul, Republic of Korea.
Baek SH; Department of Orthopedic Surgery, Chung-Ang University Hospital, Seoul, Republic of Korea.
Kwak IY; Department of Applied Statistics, Chung-Ang University, Seoul, Republic of Korea.
Kim SH; Department of Orthopedic Surgery, Chung-Ang University Hospital, Seoul, Republic of Korea.

Am J Sports Med ; 51(1): 107-118, 2023 01.

Article en En | MEDLINE | ID: mdl-36412925

Asunto(s)

Lesiones del Ligamento Cruzado Anterior; Humanos; Lactante; Lesiones del Ligamento Cruzado Anterior/complicaciones; Estudios de Cohortes; Articulación de la Rodilla/cirugía; Ligamento Cruzado Anterior/cirugía; Meniscos Tibiales/cirugía; Medición de Riesgo; Estudios Retrospectivos

Palabras clave

anterior cruciate ligament; machine learning; meniscal tear; ramp lesion; random forest

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Lesiones del Ligamento Cruzado Anterior Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans / Infant Idioma: En Revista: Am J Sports Med Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos

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