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A machine learning approach for predicting descending thoracic aortic diameter.
Yu, Ronghuang; Jin, Min; Wang, Yaohui; Cai, Xiujuan; Zhang, Keyin; Shi, Jian; Zhou, Zeyi; Fan, Fudong; Pan, Jun; Zhou, Qing; Tang, Xinlong; Wang, Dongjin.
Afiliación
  • Yu R; Medical School, Department of Cardio-Thoracic Surgery, Affiliated Drum Tower Hospital, Nanjing University, Nanjing, China.
  • Jin M; Medical School, Department of Cardio-Thoracic Surgery, Affiliated Drum Tower Hospital, Nanjing University, Nanjing, China.
  • Wang Y; Nanjing Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, China.
  • Cai X; Shanghai Artificial Intelligence Laboratory, Shanghai, China.
  • Zhang K; Nanjing Drum Tower Hospital, Clinical College of Nanjing University of Chinese Medicine, Nanjing, China.
  • Shi J; Medical School, Department of Cardio-Thoracic Surgery, Affiliated Drum Tower Hospital, Nanjing University, Nanjing, China.
  • Zhou Z; Medical School, Department of Cardio-Thoracic Surgery, Affiliated Drum Tower Hospital, Nanjing University, Nanjing, China.
  • Fan F; Medical School, Department of Cardio-Thoracic Surgery, Affiliated Drum Tower Hospital, Nanjing University, Nanjing, China.
  • Pan J; Medical School, Department of Cardio-Thoracic Surgery, Affiliated Drum Tower Hospital, Nanjing University, Nanjing, China.
  • Zhou Q; Medical School, Department of Cardio-Thoracic Surgery, Affiliated Drum Tower Hospital, Nanjing University, Nanjing, China.
  • Tang X; Medical School, Department of Cardio-Thoracic Surgery, Affiliated Drum Tower Hospital, Nanjing University, Nanjing, China.
  • Wang D; Medical School, Department of Cardio-Thoracic Surgery, Affiliated Drum Tower Hospital, Nanjing University, Nanjing, China.
Front Cardiovasc Med ; 10: 1097116, 2023.
Article en En | MEDLINE | ID: mdl-36860275
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Cardiovasc Med Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Cardiovasc Med Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza