Cesarean Scar Pregnancy Prognostic Classification System Based on Machine-Learning and Traditional Linear Scoring Models.

Abstract

Authors

• Xin Wang
  Key Laboratory of Bio-based Material Science & Technology (Northeast Forestry University), Ministry of Education, Harbin 150040, China.
• Liyuan Ma
  Department of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
• Siting Peng
  Department of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
• Yuqing Yang
  State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China.
• Jihao Wu
  State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China.
• Na Su
  Department of Ophthalmology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
• Zhenhong Qi
  Health Management Center, Foshan Hospital of Traditional Chinese Medicine, Foshan, Guangdong, China.
• Xinyan Liu
  ICU, DongE Hospital Affiliated to Shandong First Medical University, Shandong, China.
• Qing Dai
• Jianchu Li
  Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing, 100730, China.
• Zhenzhen Liu
  Department of Functional Science, School of Medicine, Yangtze University, No.1 Nanhuan Road, Jingzhou City 434100, China.

Keywords

External Resources