Machine learning models for risk prediction of cancer-associated thrombosis: a systematic review and meta-analysis.

Journal: Journal of thrombosis and haemostasis : JTH
PMID: 39549838

Abstract

BACKGROUND: Although the number of models for predicting the risk of cancer-associated thrombosis has been rising, there is still a lack of comprehensive assessment for machine learning prediction models.

Authors

  • Keya Chen
    The First School of Medicine, Wenzhou Medical University, Wenzhou, Zhejiang, China.
  • Ying Zhang
    Department of Nephrology, Nanchong Central Hospital Affiliated to North Sichuan Medical College, Nanchong, China.
  • Lufang Zhang
    The First School of Medicine, Wenzhou Medical University, Wenzhou, Zhejiang, China.
  • Wei Zhang
    The First Affiliated Hospital of Nanchang University, Nanchang, China.
  • Yu Chen
    State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.

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