Machine learning-based risk prediction model for arteriovenous fistula stenosis.

Abstract

Authors

• Peng Shu
  The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, No.26, Shengli Street, Jiang'an District, Wuhan, Hubei, China. 312855784@qq.com.
• Ling Huang
  School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, 510640, China.
• Shanshan Huo
  The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, No.26, Shengli Street, Jiang'an District, Wuhan, Hubei, China.
• Jun Qiu
  The School of Pediatrics, Hengyang Medical School, University of South China, Hunan Children's Hospital, Hengyang, Hunan, China.
• Haitao Bai
  The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, No.26, Shengli Street, Jiang'an District, Wuhan, Hubei, China.
• Xia Wang
  Department of Neurology, The Sixth People's Hospital of Huizhou City, Huizhou, China.
• Fang Xu
  CAS Key Laboratory of Urban Pollutant Conversion, Department of Chemistry, University of Science & Technology of China, Hefei 230026, China; School of Medical Engineering, Hefei University of Technology, Hefei 230009, China.

Keywords

External Resources