Exploring the Feasibility of Machine Learning to Predict Risk Stratification Within 3 Months in Chest Pain Patients with Suspected NSTE-ACS.

MLA

Zheng, Zhi Chang, et al. “Exploring the Feasibility of Machine Learning to Predict Risk Stratification Within 3 Months in Chest Pain Patients with Suspected NSTE-ACS.” Biomedical & Environmental Sciences, vol. 36, no. 7, July 2023, pp. 625–34. EBSCOhost, https://doi.org/10.3967/bes2023.089.

APA

Zheng, Z. C., Yuan, W., Wang, N., Jiang, B., Ma, C. P., Ai, H., Wang, X., & Nie, S. P. (2023). Exploring the Feasibility of Machine Learning to Predict Risk Stratification Within 3 Months in Chest Pain Patients with Suspected NSTE-ACS. Biomedical & Environmental Sciences, 36(7), 625–634. https://doi.org/10.3967/bes2023.089

Chicago

Zheng, Zhi Chang, Wei Yuan, Nian Wang, Bo Jiang, Chun Peng Ma, Hui Ai, Xiao Wang, and Shao Ping Nie. 2023. “Exploring the Feasibility of Machine Learning to Predict Risk Stratification Within 3 Months in Chest Pain Patients with Suspected NSTE-ACS.” Biomedical & Environmental Sciences 36 (7): 625–34. doi:10.3967/bes2023.089.