干旱区生态环境知识资源中心(Arid): A comparison of random survival forest and Cox regression for prediction of mortality in patients with hemorrhagic stroke

Arid

DOI	10.1186/s12911-023-02293-2
	A comparison of random survival forest and Cox regression for prediction of mortality in patients with hemorrhagic stroke
	Wang, Yuxin; Deng, Yuhan; Tan, Yinliang; Zhou, Meihong; Jiang, Yong; Liu, Baohua
通讯作者	Liu, BH
来源期刊	BMC MEDICAL INFORMATICS AND DECISION MAKING
EISSN	1472-6947
出版年	2023
卷号	23 期号:1
英文摘要	Objective To evaluate RSF and Cox models for mortality prediction of hemorrhagic stroke (HS) patients in intensive care unit (ICU).Methods In the training set, the optimal models were selected using five-fold cross-validation and grid search method. In the test set, the bootstrap method was used to validate. The area under the curve(AUC) was used for discrimination, Brier Score (BS) was used for calibration, positive predictive value(PPV), negative predictive value(NPV), and F1 score were combined to compare.Results A total of 2,990 HS patients were included. For predicting the 7-day mortality, the mean AUCs for RSF and Cox regression were 0.875 and 0.761, while the mean BS were 0.083 and 0.108. For predicting the 28-day mortality, the mean AUCs for RSF and Cox regression were 0.794 and 0.649, while the mean BS were 0.129 and 0.174. The mean AUCs of RSF and Cox versus conventional scores for predicting patients' 7-day mortality were 0.875 (RSF), 0.761 (COX), 0.736 (SAPS II), 0.723 (OASIS), 0.632 (SIRS), and 0.596 (SOFA), respectively.Conclusions RSF provided a better clinical reference than Cox. Creatine, temperature, anion gap and sodium were important variables in both models.
英文关键词	Hemorrhagic stroke Random survival forest Cox regression Intensive care unit
类型	Article
语种	英语
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:001099637300002
WOS关键词	ACUTE PHYSIOLOGY ; ANION GAP ; MODEL ; SCORE ; SEVERITY
WOS类目	Medical Informatics
WOS研究方向	Medical Informatics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/395584
推荐引用方式 GB/T 7714	Wang, Yuxin,Deng, Yuhan,Tan, Yinliang,et al. A comparison of random survival forest and Cox regression for prediction of mortality in patients with hemorrhagic stroke[J],2023,23(1).
APA	Wang, Yuxin,Deng, Yuhan,Tan, Yinliang,Zhou, Meihong,Jiang, Yong,&Liu, Baohua.(2023).A comparison of random survival forest and Cox regression for prediction of mortality in patients with hemorrhagic stroke.BMC MEDICAL INFORMATICS AND DECISION MAKING,23(1).
MLA	Wang, Yuxin,et al."A comparison of random survival forest and Cox regression for prediction of mortality in patients with hemorrhagic stroke".BMC MEDICAL INFORMATICS AND DECISION MAKING 23.1(2023).