West China Hospital of Medicine, West China Hospital Operation Room /West China School of Nursing, Sichuan University, Chengdu, China.
Department of vascular surgery, West China Hospital, Sichuan University, Chengdu, China.
Vascular. 2024 Jun;32(3):698-704. doi: 10.1177/17085381231153216. Epub 2023 Jan 19.
To summarize the current research progress of machine learning and venous thromboembolism.
The literature on risk factors, diagnosis, prevention and prognosis of machine learning and venous thromboembolism in recent years was reviewed.
Machine learning is the future of biomedical research, personalized medicine, and computer-aided diagnosis, and will significantly promote the development of biomedical research and healthcare. However, many medical professionals are not familiar with it. In this review, we will introduce several commonly used machine learning algorithms in medicine, discuss the application of machine learning in venous thromboembolism, and reveal the challenges and opportunities of machine learning in medicine.
The incidence of venous thromboembolism is high, the diagnostic measures are diverse, and it is necessary to classify and treat machine learning, and machine learning as a research tool, it is more necessary to strengthen the special research of venous thromboembolism and machine learning.
总结机器学习与静脉血栓栓塞症的研究进展。
对近年来机器学习与静脉血栓栓塞症的危险因素、诊断、预防和预后的相关文献进行综述。
机器学习是生物医学研究、个性化医学和计算机辅助诊断的未来，将极大地推动生物医学研究和医疗保健的发展。但许多医学专业人员对此并不熟悉。在本综述中，我们将介绍几种医学中常用的机器学习算法，讨论机器学习在静脉血栓栓塞症中的应用，并揭示机器学习在医学中的挑战和机遇。
静脉血栓栓塞症的发病率较高，诊断措施多样，有必要对其进行分类和治疗，而机器学习作为一种研究工具，更有必要加强静脉血栓栓塞症和机器学习的专项研究。
