Content
Frontiers of Medicine >> 2020, Volume 14, Issue 4 doi: 10.1007/s11684-020-0762-0
Development of an artificial intelligence diagnostic model based on dynamic uncertain causality graph for the differential diagnosis of dyspnea
. Department of General Internal Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.. Institute of Nuclear and New Energy Technology, Tsinghua University, Beijing 100084, China.. Department of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.. Department of Gastroenterology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.. Institute of Internet Industry, Tsinghua University, Beijing 100084, China.. Department of Medical Administration, Suining Central Hospital, Suining 629000, China.. Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China
Abstract
Keywords
knowledge representation ; uncertain ; causality ; graphical model ; artificial intelligence ; diagnosis ; dyspnea
Content