APA (7th ed.) Citation

YT, L., YX, D., CL, T., CH, H., & LC, F. (2024). Interpretable Deep Learning System for Identifying Critical Patients Through the Prediction of Triage Level, Hospitalization, and Length of Stay: Prospective Study. JMIR medical informatics, 12, e48862. https://doi.org/10.2196/48862

Chicago Style (17th ed.) Citation

YT, Lin, Deng YX, Tsai CL, Huang CH, and Fu LC. "Interpretable Deep Learning System for Identifying Critical Patients Through the Prediction of Triage Level, Hospitalization, and Length of Stay: Prospective Study." JMIR Medical Informatics 12 (2024): e48862. https://doi.org/10.2196/48862.

MLA (9th ed.) Citation

YT, Lin, et al. "Interpretable Deep Learning System for Identifying Critical Patients Through the Prediction of Triage Level, Hospitalization, and Length of Stay: Prospective Study." JMIR Medical Informatics, vol. 12, 2024, p. e48862, https://doi.org/10.2196/48862.