Research progress on machine learning based risk prediction model for cancer-associated thrombosis
10.3760/cma.j.cn115682-20231212-02557
- VernacularTitle:基于机器学习构建肿瘤相关静脉血栓栓塞风险预测模型的研究进展
- Author:
Mei XU
1
;
Wenwen LIN
;
Li NING
;
Li WANG
;
Yun XIA
Author Information
1. 浙江中医药大学护理学院，杭州 310053
- Keywords:
Review;
Venous thromboembolism;
Machine learning;
Neoplasms;
Cancer-associated thrombosis;
Risk prediction model
- From:
Chinese Journal of Modern Nursing
2024;30(31):4302-4307
- CountryChina
- Language:Chinese
-
Abstract:
Venous thromboembolism is a common complication in cancer patients and a common cause of death in cancer patients. Machine learning algorithms provide a new approach for assessing the risk of cancer-associated thrombosis (CAT). This paper reviews the machine learning based risk prediction model for CAT from summarizing, analyzing, and comparing the construction methods, basic information, and predictive performance of the models, so as to provide reference for the construction and application of CAT risk prediction models.
