Development and validation of machine learning models for predicting venous thromboembolism in colorectal cancer patients: A cohort study in China.

Journal: International journal of medical informatics
PMID: 39732129

Abstract

BACKGROUND: With advancements in healthcare, traditional VTE risk assessment tools are increasingly insufficient to meet the demands of high-quality care, underscoring the need for innovative and specialized assessment methods.

Authors

  • Zuhai Hu
    Chongqing Cancer Multiomics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, Chongqing 400030, China.
  • Xiaosheng Li
    Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing 400030, China.
  • Yuliang Yuan
    Chongqing Cancer Multiomics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, Chongqing 400030, China.
  • Qianjie Xu
    Department of Health Statistics, School of Public Health, Chongqing Medical University, Chongqing 400016, China.
  • Wei Zhang
    The First Affiliated Hospital of Nanchang University, Nanchang, China.
  • Haike Lei
    Chongqing Cancer Multiomics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, Chongqing 400030, China. Electronic address: tohaike@163.com.

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