Cao, Y.; Forssten, M.P.; Sarani, B.; Montgomery, S.; Mohseni, S.
Development and Validation of an XGBoost-Algorithm-Powered Survival Model for Predicting In-Hospital Mortality Based on 545,388 Isolated Severe Traumatic Brain Injury Patients from the TQIP Database. J. Pers. Med. 2023, 13, 1401.
https://doi.org/10.3390/jpm13091401
AMA Style
Cao Y, Forssten MP, Sarani B, Montgomery S, Mohseni S.
Development and Validation of an XGBoost-Algorithm-Powered Survival Model for Predicting In-Hospital Mortality Based on 545,388 Isolated Severe Traumatic Brain Injury Patients from the TQIP Database. Journal of Personalized Medicine. 2023; 13(9):1401.
https://doi.org/10.3390/jpm13091401
Chicago/Turabian Style
Cao, Yang, Maximilian Peter Forssten, Babak Sarani, Scott Montgomery, and Shahin Mohseni.
2023. "Development and Validation of an XGBoost-Algorithm-Powered Survival Model for Predicting In-Hospital Mortality Based on 545,388 Isolated Severe Traumatic Brain Injury Patients from the TQIP Database" Journal of Personalized Medicine 13, no. 9: 1401.
https://doi.org/10.3390/jpm13091401
APA Style
Cao, Y., Forssten, M. P., Sarani, B., Montgomery, S., & Mohseni, S.
(2023). Development and Validation of an XGBoost-Algorithm-Powered Survival Model for Predicting In-Hospital Mortality Based on 545,388 Isolated Severe Traumatic Brain Injury Patients from the TQIP Database. Journal of Personalized Medicine, 13(9), 1401.
https://doi.org/10.3390/jpm13091401
