J, J., YJ, C., T, S., KB, L., JH, K., EY, C., . . . JH, C. (2026). Determining a Clinically Applicable Cutoff in AI Algorithms for Predicting Clinical Deterioration: A Workload-Constrained, Alarm-Based Approach. Journal of clinical medicine, 15(14), . https://doi.org/10.3390/jcm15145753
Chicago Style (17th ed.) CitationJ, Jang, et al. "Determining a Clinically Applicable Cutoff in AI Algorithms for Predicting Clinical Deterioration: A Workload-Constrained, Alarm-Based Approach." Journal of Clinical Medicine 15, no. 14 (2026). https://doi.org/10.3390/jcm15145753.
MLA (9th ed.) CitationJ, Jang, et al. "Determining a Clinically Applicable Cutoff in AI Algorithms for Predicting Clinical Deterioration: A Workload-Constrained, Alarm-Based Approach." Journal of Clinical Medicine, vol. 15, no. 14, 2026, https://doi.org/10.3390/jcm15145753.