APA (7th ed.) Citation

Wang, F., Zhang, R., Tan, L., Mei, T., Chen, H., Zhang, Y., . . . Cao, Y. (2025). A predictive model for real-time LSTM methods: Monitoring dynamic transmembrane pressure improves loop life and anticoagulant therapy accuracy in continuous renal replacement therapy. Technology & Health Care, 33(5), 2305. https://doi.org/10.1177/09287329251337277

Chicago Style (17th ed.) Citation

Wang, Fangzheng, Rui Zhang, Liang Tan, Tieniu Mei, Hongya Chen, Yonghui Zhang, Yu Zeng, Zuzhi Chen, and Ying Cao. "A Predictive Model for Real-time LSTM Methods: Monitoring Dynamic Transmembrane Pressure Improves Loop Life and Anticoagulant Therapy Accuracy in Continuous Renal Replacement Therapy." Technology & Health Care 33, no. 5 (2025): 2305. https://doi.org/10.1177/09287329251337277.

MLA (9th ed.) Citation

Wang, Fangzheng, et al. "A Predictive Model for Real-time LSTM Methods: Monitoring Dynamic Transmembrane Pressure Improves Loop Life and Anticoagulant Therapy Accuracy in Continuous Renal Replacement Therapy." Technology & Health Care, vol. 33, no. 5, 2025, p. 2305, https://doi.org/10.1177/09287329251337277.