Utilizing machine learning for early screening of thyroid nodules: a dual-center cross-sectional study in China.

Journal: Frontiers in endocrinology
Published Date:

Abstract

BACKGROUND: Thyroid nodules, increasingly prevalent globally, pose a risk of malignant transformation. Early screening is crucial for management, yet current models focus mainly on ultrasound features. This study explores machine learning for screening using demographic and biochemical indicators.

Authors

  • Shuwei Weng
    Department of Cardiology, Research Institute of Blood Lipids and Atherosclerosis, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
  • Chen Ding
    Department of Cardiology, The Fourth Affiliated Hospital of Soochow University, Suzhou Dushu Lake Hospital, Medical Center of Soochow University, Suzhou, Jiangsu, China.
  • Die Hu
    Center for Information in Biomedicine, University of Electronic Science and Technology of China, Chengdu 610000, China. Electronic address: 15182510600@163.com.
  • Jin Chen
    Department of Neurology, University of Texas Health Science Center at Houston, Houston, TX.
  • Yang Liu
    Department of Computer Science, Hong Kong Baptist University, Hong Kong, China.
  • Wenwu Liu
    Department of Cardiology, Research Institute of Blood Lipids and Atherosclerosis, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
  • Yang Chen
    Orthopedics Department of the First Affiliated Hospital of Tsinghua University, Beijing, China.
  • Xin Guo
    Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong.
  • Chenghui Cao
    Department of Cardiology, Research Institute of Blood Lipids and Atherosclerosis, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
  • Yuting Yi
    Department of Cardiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
  • Yanyi Yang
    Health Management Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
  • Daoquan Peng
    Department of Cardiology, Research Institute of Blood Lipids and Atherosclerosis, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.