The features associated with mammography-occult MRI-detected newly diagnosed breast cancer analysed by comparing machine learning models with a logistic regression model.

Abstract

Authors

• Wei Yang
  Key Laboratory of Structure-Based Drug Design and Discovery (Shenyang Pharmaceutical University), Ministry of Education, School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Wenhua Road 103, Shenyang 110016, PR China. Electronic address: 421063202@qq.com.
• Yan Yang
  Department of Endocrinology and Metabolism, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
• Ningmei Zhang
  Department of Pathology, General Hospital of Ningxia Medical University, 804 Shengli Road, Yinchuan, 750004, People's Republic of China.
• Qingyun Yin
  Department of Medical Oncology, General Hospital of Ningxia Medical University, 804 Shengli Road, Yinchuan, 750004, People's Republic of China.
• Chaolin Zhang
  Department of Systems Biology, Department of Biochemistry and Molecular Biophysics, Center for Motor Neuron Biology and Disease, Columbia University, New York, NY 10032, USA. Electronic address: cz2294@columbia.edu.
• Jinyu Han
  Department of Radiology, General Hospital of Ningxia Medical University, 804 Shengli Road, Yinchuan, 750004, People's Republic of China.
• Xiaoping Zhou
  College of Clinical Medicine, Ningxia Medical University, 692 Shengli Road, Yinchuan, 750004, People's Republic of China.
• Kaihui Liu
  College of Clinical Medicine, Ningxia Medical University, 692 Shengli Road, Yinchuan, 750004, People's Republic of China.

Keywords

External Resources