机器学习在癌症患者自我报告结局中的应用研究进展

Progress for research and application of machine learning in the patient-reported outcomes of cancer patients

近年来,患者自我报告结局在癌症领域的研究逐渐深入,生成大量数据,而机器学习因其具有处理大数据的优势,在癌症患者自我报告结局领域得到初步应用,且相关机器学习模型性能较好。该文综述了机器学习在预测癌症患者治疗后并发症、生存及死亡率,以及纵向监测癌症患者健康相关生活质量变化和辅助癌症治疗决策方面的应用,可在癌症患者症状预测、结局预测、生活质量监测、合理临床治疗决策方面为临床护理实践提供参考。

In recent years,patient self-reported outcomes in the field of cancer research has gradually deepened,with a large number of patient self-reported outcomes data meet the advantages of machine learning to deal with a large amount of data.Machine learning in the field of self-reported outcomes of cancer patients has been initially applied,and the performance of the relevant machine learning models is good.This paper reviewed the application of machine learning in predicting complications,survival and mortality after anticancer treatment,longitudinal monitoring of health-related quality of life changes in cancer patients,and assisting in cancer treatment decision-making,which can asssist clinical care practice in the areas of symptom prediction,outcome prediction,quality-of-life monitoring,and rational clinical treatment decision-making in cancer patients.