APA (7th ed.) Citation

Zhu, Y., Wang, Z., He, L., Xie, S., Zheng, X., Ma, L., & Pan, C. (2023). PRISM: Mitigating EHR Data Sparsity via Learning from Missing Feature Calibrated Prototype Patient Representations.

Chicago Style (17th ed.) Citation

Zhu, Yinghao, Zixiang Wang, Long He, Shiyun Xie, Xiaochen Zheng, Liantao Ma, and Chengwei Pan. PRISM: Mitigating EHR Data Sparsity via Learning from Missing Feature Calibrated Prototype Patient Representations. 2023.

MLA (9th ed.) Citation

Zhu, Yinghao, et al. PRISM: Mitigating EHR Data Sparsity via Learning from Missing Feature Calibrated Prototype Patient Representations. 2023.