Machine learning model for differentiating malignant from benign thyroid nodules based on the thyroid function data.

Journal: BMJ open
PMID: 40335136

Abstract

OBJECTIVES: To develop and validate a machine learning (ML) model to differentiate malignant from benign thyroid nodules (TNs) based on the routine data and provide diagnostic assistance for medical professionals.

Authors

  • Fuqiang Ma
    Department of Integrated Traditional and Western Medicine,The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China.
  • Fengchang Yu
    Wuhan University, School of Information Management, Wuhan, China.
  • Shenhui Lv
    Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, Hubei, China.
  • Lihua Zhang
    Department of Mathematics, University of California, Irvine, CA, 92697, USA.
  • Zhilin Lu
    Hubei University of Chinese Medicine, Wuhan, Hubei, China.
  • Quan Zhou
    Department of Medical Laboratory, General Hospital of Southern Theater of PLA, Guangzhou 51010, China.
  • He-Rong Mao
    Hubei University of Chinese Medicine, Wuhan, Hubei, China 2727@hbucm.edu.cn 876758328@qq.com mhr1752@hbucm.edu.cn.
  • Lele Zhang
  • Nan Xiang
    Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.

Keywords

External Resources

Popular Topics
Recent Journals