Pulse wave-driven machine learning for the non-invasive assessment of coronary artery calcification in patients with end-stage renal disease undergoing hemodialysis.

Abstract

Authors

• Yanxin Wang
  School of Physics, Beihang University, Beijing, People's Republic of China.
• Lin Yang
  National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China.
• Ziwei Li
  Faculty of Environment and Life Sciences, Beijing University of Technology, Beijing 100124, China.
• Xinyu Zhang
  Wenzhou Medical University Renji College, Wenzhou, Zhejiang, China.
• Hongyang Zhao
  State Key Laboratory of Organic-Inorganic Composites, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing Key Laboratory of Bioprocess, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China.
• Man Ji
  College of Chemistry and Life Science, Beijing University of Technology, Beijing, 100124, China.
• Dongmei Hao
  College of Life Science and Bioengineering, Beijing University of Technology, Intelligent Physiological Measurement and Clinical Translation, Beijing International Base for Scientific and Technological Cooperation, Beijing, 100024, China.
• Jie Yang
  Key Laboratory of Development and Maternal and Child Diseases of Sichuan Province, Department of Pediatrics, Sichuan University, Chengdu, China.
• Chong Wang
  Shandong Xinhua Pharmaceutical Co., Ltd., No. 1, Lu Tai Road, High Tech Zone, Zibo 255199, China.
• Ying Li
  School of Information Engineering, Chang'an University, Xi'an 710010, China.
• Guangfei Li
  Department of Biomedical Engineering, Faculty of Environment and Life Sciences, Beijing University of Technology, Beijing, China.

Keywords

External Resources