Enhancing metastatic colorectal cancer prediction through advanced feature selection and machine learning techniques.

Journal: International immunopharmacology
PMID: 39226823

Abstract

BACKGROUND AND AIMS: Colorectal cancer (CRC) is the third most prevalent cancer globally, posing a significant challenge due to its high rate of metastasis. Approximately 20% of patients with CRC present with distant metastases at diagnosis, and over 50% develop metastases within five years. Accurate prediction of metastasis is crucial for improving survival outcomes in patients with CRC.

Authors

  • Hui Yang
    Department of Neurology, The Second Affiliated Hospital of Guizhou University of Chinese Medicine, Guiyang, China.
  • Jun Liu
    Department of Radiology, Second Xiangya Hospital, Changsha, Hunan, China.
  • Na Yang
    Department of Ultrasound, Affiliated Hospital of Jilin Medical College, Jilin, China.
  • Qingsheng Fu
    Department of Gastrointestinal Surgery, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, Anhui, China.
  • Yingying Wang
    Department of Thyroid Surgery, China-Japan Union Hospital of Jilin University, Jilin University, Changchun, China.
  • Mingquan Ye
    School of Medical Information, Wannan Medical College, Wuhu 241002, China. ymq@wnmc.edu.cn.
  • Shaoneng Tao
    Department of Nuclear Medicine, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, Anhui 241001, China. Electronic address: tsntyc@sina.com.
  • Xiaocen Liu
    Department of Nuclear Medicine, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, Anhui 241001, China. Electronic address: yjslxc0719@163.com.
  • Qingqing Li
    Department of Radiology, Suzhou Wuzhong People's Hospital, Suzhou, Jiangsu, China.

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