Your browser doesn't support javascript.
loading
DeAF: A multimodal deep learning framework for disease prediction.
Li, Kangshun; Chen, Can; Cao, Wuteng; Wang, Hui; Han, Shuai; Wang, Renjie; Ye, Zaisheng; Wu, Zhijie; Wang, Wenxiang; Cai, Leng; Ding, Deyu; Yuan, Zixu.
Afiliação
  • Li K; College of Mathematics and Informatics, South China Agricultural University, Guangzhou, 510000, China. Electronic address: likangshun@sina.com.
  • Chen C; College of Mathematics and Informatics, South China Agricultural University, Guangzhou, 510000, China.
  • Cao W; Department of Radiology, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510000, China.
  • Wang H; Department of Colorectal Surgery, Department of General Surgery, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510000, China.
  • Han S; General Surgery Center, Department of Gastrointestinal Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, 510000, China.
  • Wang R; Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200000, China.
  • Ye Z; Department of Gastrointestinal Surgical Oncology, Fujian Cancer Hospital and Fujian Medical University Cancer Hospital, Fuzhou, 350000, China.
  • Wu Z; Department of Colorectal Surgery, Department of General Surgery, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510000, China.
  • Wang W; College of Mathematics and Informatics, South China Agricultural University, Guangzhou, 510000, China.
  • Cai L; College of Mathematics and Informatics, South China Agricultural University, Guangzhou, 510000, China.
  • Ding D; Department of Economics, University of Konstanz, Konstanz, 350000, Germany.
  • Yuan Z; Department of Colorectal Surgery, Department of General Surgery, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510000, China. Electronic address: yuanzx@mail2.sysu.edu.cn.
Comput Biol Med ; 156: 106715, 2023 04.
Article em En | MEDLINE | ID: mdl-36867898

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Alzheimer / Aprendizado Profundo Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Comput Biol Med Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Alzheimer / Aprendizado Profundo Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Comput Biol Med Ano de publicação: 2023 Tipo de documento: Article