Application of machine learning model to predict osteoporosis based on abdominal computed tomography images of the psoas muscle: a retrospective study.

Huang, Cheng-Bin; Hu, Jia-Sen; Tan, Kai; Zhang, Wei; Xu, Tian-Hao; Yang, Lei

Huang, Cheng-Bin; Hu, Jia-Sen; Tan, Kai; Zhang, Wei; Xu, Tian-Hao; Yang, Lei.

Afiliación

Huang CB; Department of Orthopaedic Surgery, The Second Affiliated Hospital and Yuying Childrens Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Hu JS; Key Laboratory of Orthopaedics of Zhejiang Province, Wenzhou, 325000, China.
Tan K; Department of Orthopaedic Surgery, The Second Affiliated Hospital and Yuying Childrens Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Zhang W; Department of Orthopaedic Surgery, The Second Affiliated Hospital and Yuying Childrens Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Xu TH; Key Laboratory of Orthopaedics of Zhejiang Province, Wenzhou, 325000, China.
Yang L; Department of Orthopaedic Surgery, The Second Affiliated Hospital and Yuying Childrens Hospital of Wenzhou Medical University, Wenzhou, 325000, China.

BMC Geriatr ; 22(1): 796, 2022 10 13.

Article en En | MEDLINE | ID: mdl-36229793

Asunto(s)

Osteoporosis; Músculos Psoas; Teorema de Bayes; Humanos; Aprendizaje Automático; Osteoporosis/diagnóstico por imagen; Músculos Psoas/diagnóstico por imagen; Estudios Retrospectivos; Tomografía Computarizada por Rayos X/métodos

Palabras clave

Computed tomography; Machine learning; Middle-aged and aged people; Osteoporosis; Psoas; Radiomics

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Osteoporosis / Músculos Psoas Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: BMC Geriatr Asunto de la revista: GERIATRIA Año: 2022 Tipo del documento: Article País de afiliación: China

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