Your browser doesn't support javascript.
loading
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.
Afiliação
  • 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 em En | MEDLINE | ID: mdl-36860275

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Cardiovasc Med Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Cardiovasc Med Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China País de publicação: Suíça