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Lee S, Reddy Mudireddy A, Kumar Pasupula D, Adhaduk M, Barsotti EJ, Sonka M, Statz GM, Bullis T, Johnston SL, Evans AZ, et al. Novel Machine Learning Approach to Predict and Personalize Length of Stay for Patients Admitted with Syncope from the Emergency Department. Journal of Personalized Medicine. 2023; 13(1):7. https://doi.org/10.3390/jpm13010007

Lee, Sangil, Avinash Reddy Mudireddy, Deepak Kumar Pasupula, Mehul Adhaduk, E. John Barsotti, Milan Sonka, Giselle M. Statz, Tyler Bullis, Samuel L. Johnston, Aron Z. Evans, and et al. 2023. "Novel Machine Learning Approach to Predict and Personalize Length of Stay for Patients Admitted with Syncope from the Emergency Department" Journal of Personalized Medicine 13, no. 1: 7. https://doi.org/10.3390/jpm13010007

Lee, S., Reddy Mudireddy, A., Kumar Pasupula, D., Adhaduk, M., Barsotti, E. J., Sonka, M., Statz, G. M., Bullis, T., Johnston, S. L., Evans, A. Z., Olshansky, B., & Gebska, M. A. (2023). Novel Machine Learning Approach to Predict and Personalize Length of Stay for Patients Admitted with Syncope from the Emergency Department. Journal of Personalized Medicine, 13(1), 7. https://doi.org/10.3390/jpm13010007