Machine Learning-Based Ultrasomics for Predicting Subacromial Impingement Syndrome Stages.

Jiang, Hao; Chen, Ling; Zhao, Yu-Jia; Lin, Zhang-Ya; Yang, Hong

Jiang, Hao; Chen, Ling; Zhao, Yu-Jia; Lin, Zhang-Ya; Yang, Hong.

Afiliación

Jiang H; Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Chen L; Department of Pain Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Zhao YJ; Department of Medical Ultrasound, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Lin ZY; Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Yang H; Department of Neurosurgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.

J Ultrasound Med ; 41(9): 2279-2285, 2022 Sep.

Article en En | MEDLINE | ID: mdl-34882827

Asunto(s)

Síndrome de Abducción Dolorosa del Hombro; Área Bajo la Curva; Humanos; Aprendizaje Automático; Curva ROC; Estudios Retrospectivos; Síndrome de Abducción Dolorosa del Hombro/diagnóstico por imagen

Palabras clave

machine learning; stage evaluation; subacromial impingement syndrome; ultrasomic model

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Síndrome de Abducción Dolorosa del Hombro Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Ultrasound Med Año: 2022 Tipo del documento: Article País de afiliación: China

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