Cite
Computational analysis of airflow dynamics for predicting collapsible sites in the upper airways: machine learning approach.
MLA
Seung Ho Yeom, et al. “Computational Analysis of Airflow Dynamics for Predicting Collapsible Sites in the Upper Airways: Machine Learning Approach.” Journal of Applied Physiology, vol. 127, no. 4, Oct. 2019, pp. 959–73. EBSCOhost, https://doi.org/10.1152/japplphysiol.01033.2018.
APA
Seung Ho Yeom, Ji Sung Na, Hwi-Dong Jung, Hyung-Ju Cho, Yoon Jeong Choi, & Joon Sang Lee. (2019). Computational analysis of airflow dynamics for predicting collapsible sites in the upper airways: machine learning approach. Journal of Applied Physiology, 127(4), 959–973. https://doi.org/10.1152/japplphysiol.01033.2018
Chicago
Seung Ho Yeom, Ji Sung Na, Hwi-Dong Jung, Hyung-Ju Cho, Yoon Jeong Choi, and Joon Sang Lee. 2019. “Computational Analysis of Airflow Dynamics for Predicting Collapsible Sites in the Upper Airways: Machine Learning Approach.” Journal of Applied Physiology 127 (4): 959–73. doi:10.1152/japplphysiol.01033.2018.