Ahmad, H.S.; Chauhan, D.; Dagli, M.M.; Turlip, R.W.; Bashti, M.; Hamade, A.; Wang, P.T.; Ghenbot, Y.; Yang, A.I.; Basil, G.W.;
et al. Machine Learning Models Leveraging Smartphone-Based Patient Mobility Data Can Accurately Predict Functional Outcomes After Spine Surgery. J. Clin. Med. 2024, 13, 6515.
https://doi.org/10.3390/jcm13216515
AMA Style
Ahmad HS, Chauhan D, Dagli MM, Turlip RW, Bashti M, Hamade A, Wang PT, Ghenbot Y, Yang AI, Basil GW,
et al. Machine Learning Models Leveraging Smartphone-Based Patient Mobility Data Can Accurately Predict Functional Outcomes After Spine Surgery. Journal of Clinical Medicine. 2024; 13(21):6515.
https://doi.org/10.3390/jcm13216515
Chicago/Turabian Style
Ahmad, Hasan S., Daksh Chauhan, Mert Marcel Dagli, Ryan W. Turlip, Malek Bashti, Ali Hamade, Patrick T. Wang, Yohannes Ghenbot, Andrew I. Yang, Gregory W. Basil,
and et al. 2024. "Machine Learning Models Leveraging Smartphone-Based Patient Mobility Data Can Accurately Predict Functional Outcomes After Spine Surgery" Journal of Clinical Medicine 13, no. 21: 6515.
https://doi.org/10.3390/jcm13216515
APA Style
Ahmad, H. S., Chauhan, D., Dagli, M. M., Turlip, R. W., Bashti, M., Hamade, A., Wang, P. T., Ghenbot, Y., Yang, A. I., Basil, G. W., Welch, W. C., & Yoon, J. W.
(2024). Machine Learning Models Leveraging Smartphone-Based Patient Mobility Data Can Accurately Predict Functional Outcomes After Spine Surgery. Journal of Clinical Medicine, 13(21), 6515.
https://doi.org/10.3390/jcm13216515
