Yalçın, N.; Kaşıkcı, M.; Çelik, H.T.; Allegaert, K.; Demirkan, K.; Yiğit, Ş.; Yurdakök, M.
Novel Method for Early Prediction of Clinically Significant Drug–Drug Interactions with a Machine Learning Algorithm Based on Risk Matrix Analysis in the NICU. J. Clin. Med. 2022, 11, 4715.
https://doi.org/10.3390/jcm11164715
AMA Style
Yalçın N, Kaşıkcı M, Çelik HT, Allegaert K, Demirkan K, Yiğit Ş, Yurdakök M.
Novel Method for Early Prediction of Clinically Significant Drug–Drug Interactions with a Machine Learning Algorithm Based on Risk Matrix Analysis in the NICU. Journal of Clinical Medicine. 2022; 11(16):4715.
https://doi.org/10.3390/jcm11164715
Chicago/Turabian Style
Yalçın, Nadir, Merve Kaşıkcı, Hasan Tolga Çelik, Karel Allegaert, Kutay Demirkan, Şule Yiğit, and Murat Yurdakök.
2022. "Novel Method for Early Prediction of Clinically Significant Drug–Drug Interactions with a Machine Learning Algorithm Based on Risk Matrix Analysis in the NICU" Journal of Clinical Medicine 11, no. 16: 4715.
https://doi.org/10.3390/jcm11164715
APA Style
Yalçın, N., Kaşıkcı, M., Çelik, H. T., Allegaert, K., Demirkan, K., Yiğit, Ş., & Yurdakök, M.
(2022). Novel Method for Early Prediction of Clinically Significant Drug–Drug Interactions with a Machine Learning Algorithm Based on Risk Matrix Analysis in the NICU. Journal of Clinical Medicine, 11(16), 4715.
https://doi.org/10.3390/jcm11164715