Utilizing machine learning approaches to investigate the relationship between cystatin C and serious complications in esophageal cancer patients after esophagectomy.

Journal: Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer
PMID: 39680175

Abstract

BACKGROUND: The purpose of this study is to investigate the relationship between preoperative cystatin C levels and the risk of serious postoperative complications in esophageal cancer (EC) patients, utilizing advanced machine learning (ML) methodologies.

Authors

  • Zhenyu Huo
    Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China.
  • Feifei Chong
    Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China.
  • Siyu Luo
    Department of Dermatology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Ning Tong
    School of Software, Dalian Jiaotong University, Dalian 116028, China.
  • Zongliang Lu
    School of Public Administration, Guangdong University of Finance and Economics, Guangzhou 510320, China.
  • Mengyuan Zhang
    The Department of Radiology, The First Affiliated Hospital of Zhengzhou University, No.1, Eastern Jianshe Road, Zhengzhou 450052, Henan Province, China (K.Q., D.Y., Y.Z., M.Z., W.Z., J.Z., B.Y., J.G., J.L.).
  • Jie Liu
    School of Bioscience and Bioengineering, South China University of Technology, Guangzhou, China.
  • Hongxia Xu
    Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China. Electronic address: hx_xu2015@163.com.
  • Na Li
    School of Nursing, Fujian University of Traditional Chinese Medicine, Fuzhou, China.

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