Hung, M.; Lauren, E.; Hon, E.; Xu, J.; Ruiz-Negrón, B.; Rosales, M.; Li, W.; Barton, T.; O’Brien, J.; Su, W.
Using Machine Learning to Predict 30-Day Hospital Readmissions in Patients with Atrial Fibrillation Undergoing Catheter Ablation. J. Pers. Med. 2020, 10, 82.
https://doi.org/10.3390/jpm10030082
AMA Style
Hung M, Lauren E, Hon E, Xu J, Ruiz-Negrón B, Rosales M, Li W, Barton T, O’Brien J, Su W.
Using Machine Learning to Predict 30-Day Hospital Readmissions in Patients with Atrial Fibrillation Undergoing Catheter Ablation. Journal of Personalized Medicine. 2020; 10(3):82.
https://doi.org/10.3390/jpm10030082
Chicago/Turabian Style
Hung, Man, Evelyn Lauren, Eric Hon, Julie Xu, Bianca Ruiz-Negrón, Megan Rosales, Wei Li, Tanner Barton, Jacob O’Brien, and Weicong Su.
2020. "Using Machine Learning to Predict 30-Day Hospital Readmissions in Patients with Atrial Fibrillation Undergoing Catheter Ablation" Journal of Personalized Medicine 10, no. 3: 82.
https://doi.org/10.3390/jpm10030082
APA Style
Hung, M., Lauren, E., Hon, E., Xu, J., Ruiz-Negrón, B., Rosales, M., Li, W., Barton, T., O’Brien, J., & Su, W.
(2020). Using Machine Learning to Predict 30-Day Hospital Readmissions in Patients with Atrial Fibrillation Undergoing Catheter Ablation. Journal of Personalized Medicine, 10(3), 82.
https://doi.org/10.3390/jpm10030082