Lee, K.H.; Dong, J.J.; Kim, S.; Kim, D.; Hyun, J.H.; Chae, M.-H.; Lee, B.S.; Song, Y.G.
Prediction of Bacteremia Based on 12-Year Medical Data Using a Machine Learning Approach: Effect of Medical Data by Extraction Time. Diagnostics 2022, 12, 102.
https://doi.org/10.3390/diagnostics12010102
AMA Style
Lee KH, Dong JJ, Kim S, Kim D, Hyun JH, Chae M-H, Lee BS, Song YG.
Prediction of Bacteremia Based on 12-Year Medical Data Using a Machine Learning Approach: Effect of Medical Data by Extraction Time. Diagnostics. 2022; 12(1):102.
https://doi.org/10.3390/diagnostics12010102
Chicago/Turabian Style
Lee, Kyoung Hwa, Jae June Dong, Subin Kim, Dayeong Kim, Jong Hoon Hyun, Myeong-Hun Chae, Byeong Soo Lee, and Young Goo Song.
2022. "Prediction of Bacteremia Based on 12-Year Medical Data Using a Machine Learning Approach: Effect of Medical Data by Extraction Time" Diagnostics 12, no. 1: 102.
https://doi.org/10.3390/diagnostics12010102
APA Style
Lee, K. H., Dong, J. J., Kim, S., Kim, D., Hyun, J. H., Chae, M.-H., Lee, B. S., & Song, Y. G.
(2022). Prediction of Bacteremia Based on 12-Year Medical Data Using a Machine Learning Approach: Effect of Medical Data by Extraction Time. Diagnostics, 12(1), 102.
https://doi.org/10.3390/diagnostics12010102