Wolk, D.M.; Lanyado, A.; Tice, A.M.; Shermohammed, M.; Kinar, Y.; Goren, A.; Chabris, C.F.; Meyer, M.N.; Shoshan, A.; Abedi, V.
Prediction of Influenza Complications: Development and Validation of a Machine Learning Prediction Model to Improve and Expand the Identification of Vaccine-Hesitant Patients at Risk of Severe Influenza Complications. J. Clin. Med. 2022, 11, 4342.
https://doi.org/10.3390/jcm11154342
AMA Style
Wolk DM, Lanyado A, Tice AM, Shermohammed M, Kinar Y, Goren A, Chabris CF, Meyer MN, Shoshan A, Abedi V.
Prediction of Influenza Complications: Development and Validation of a Machine Learning Prediction Model to Improve and Expand the Identification of Vaccine-Hesitant Patients at Risk of Severe Influenza Complications. Journal of Clinical Medicine. 2022; 11(15):4342.
https://doi.org/10.3390/jcm11154342
Chicago/Turabian Style
Wolk, Donna M., Alon Lanyado, Ann Marie Tice, Maheen Shermohammed, Yaron Kinar, Amir Goren, Christopher F. Chabris, Michelle N. Meyer, Avi Shoshan, and Vida Abedi.
2022. "Prediction of Influenza Complications: Development and Validation of a Machine Learning Prediction Model to Improve and Expand the Identification of Vaccine-Hesitant Patients at Risk of Severe Influenza Complications" Journal of Clinical Medicine 11, no. 15: 4342.
https://doi.org/10.3390/jcm11154342
APA Style
Wolk, D. M., Lanyado, A., Tice, A. M., Shermohammed, M., Kinar, Y., Goren, A., Chabris, C. F., Meyer, M. N., Shoshan, A., & Abedi, V.
(2022). Prediction of Influenza Complications: Development and Validation of a Machine Learning Prediction Model to Improve and Expand the Identification of Vaccine-Hesitant Patients at Risk of Severe Influenza Complications. Journal of Clinical Medicine, 11(15), 4342.
https://doi.org/10.3390/jcm11154342