BPG is committed to discovery and dissemination of knowledge
Cited by in CrossRef
For: Zheng K, Bai Y, Zhai QR, Du LF, Ge HX, Wang GX, Ma QB. Correlation between the warning symptoms and prognosis of cardiac arrest. World J Clin Cases 2022; 10(22): 7738-7748 [PMID: 36158514 DOI: 10.12998/wjcc.v10.i22.7738]
URL: https://www.wjgnet.com/2307-8960/full/v10/i22/7738.htm
Number Citing Articles
1
Jae-Man Lim, Sang-Gyun Roh. Measures to Improve the Behavior of Witnesses at the Scene of Cardiac Arrest by Guidance of Situation Room WorkersFire Science and Engineering 2024; 38(4): 44 doi: 10.7731/KIFSE.399fa6dc
2
Wenbo Zhang, Wei Gu. Modified Early-Warning Score combined with early-warning symptoms and electrocardiographic findings in predicting in-hospital cardiac arrest in critically ill patients: a retrospective cohort studyEmergency and Critical Care Medicine 2025; 5(2): 83 doi: 10.1097/EC9.0000000000000135
3
Guozhong Zhou, Yan Wang, Zihong Sun, Mingqi Yuan, Yunlin Ma, Qianxi Wu, Chunyan Wu, Jing Xu, Yongyi Li, Yunchuan Liu, Zhenzhou Wang, Chao Song. Survival outcome among patients with out-of-hospital cardiac arrest who received cardiopulmonary resuscitation in China: a systematic review and meta-analysisEuropean Journal of Medical Research 2023; 28(1) doi: 10.1186/s40001-022-00955-x
4
·赛买提 夏来百提姑. Research Progress of In-Hospital Cardiac Ar-rest Early Warning Model Based on Machine LearningAdvances in Clinical Medicine 2024; 14(01): 871 doi: 10.12677/ACM.2024.141123
5
Huiruo Liu, Liangshan Wang, Hong Wang, Xing Hao, Zhongtao Du, Chenglong Li, Xiaotong Hou. Triglyceride-glucose index correlates with the incidences and prognoses of cardiac arrest following acute myocardial infarction: data from two large-scale cohortsCardiovascular Diabetology 2025; 24(1) doi: 10.1186/s12933-025-02641-8
6
Xialaibaitigu Saimaiti, Yongkai Li, Yierxiatijiang Aikebaier, Xinling Dong, Hong Cui, Yi Hu, Jianzhong Yang. Development and validation of a nomogram model for predicting in-hospital cardiac arrest risk: A prospective multi-center observational studyMedicine 2025; 104(49): e46389 doi: 10.1097/MD.0000000000046389
7
Niranjan Badu, Kakita Murali Gopal, Sujogya Mishra, Subhalaxmi Das, Sipali Pradhan, Stitapragyan Lenka. Prediction and Analysis of Cardiac Related Diseases Using Machine Learning Algorithms2025 International Conference on Next Generation of Green Information and Emerging Technologies (GIET) 2025; : 1 doi: 10.1109/GIET65294.2025.11234791