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Prediction of Renal Function 1 Year After Transplantation Using Machine Learning Methods Based on Ultrasound Radiomics Combined With Clinical and Imaging Features.
Zhu, Lili; Huang, Renjun; Zhou, Zhiyong; Fan, Qingmin; Yan, Junchen; Wan, Xiaojing; Zhao, Xiaojun; He, Yao; Dong, Fenglin.
Afiliación
  • Zhu L; Department of Ultrasound, the First Affiliated Hospital of Soochow University, Suzhou City, Jiangsu Province, P.R. China.
  • Huang R; Department of Radiology, the First Affiliated Hospital of Soochow University, Suzhou City, Jiangsu Province, P.R. China.
  • Zhou Z; Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou City, Jiangsu Province, P.R. China.
  • Fan Q; Department of Ultrasound, the First Affiliated Hospital of Soochow University, Suzhou City, Jiangsu Province, P.R. China.
  • Yan J; Department of Ultrasound, the First Affiliated Hospital of Soochow University, Suzhou City, Jiangsu Province, P.R. China.
  • Wan X; Department of Ultrasound, the First Affiliated Hospital of Soochow University, Suzhou City, Jiangsu Province, P.R. China.
  • Zhao X; Department of Urology, the First Affiliated Hospital of Soochow University, Suzhou City, Jiangsu Province, P.R. China.
  • He Y; Suzhou Key Laboratory of Nanotechnology and Biomedicine, Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices, Institute of Functional Nano & Soft Materials (FUNSOM), Soochow University, Suzhou City, Jiangsu Province, P.R. China.
  • Dong F; Department of Ultrasound, the First Affiliated Hospital of Soochow University, Suzhou City, Jiangsu Province, P.R. China.
Ultrason Imaging ; 45(2): 85-96, 2023 03.
Article en En | MEDLINE | ID: mdl-36932907
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Insuficiencia Renal Crónica Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Ultrason Imaging Año: 2023 Tipo del documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Insuficiencia Renal Crónica Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Ultrason Imaging Año: 2023 Tipo del documento: Article