Lin Yang, Zhe Li, Meng Dai, Feng Fu, Knut Möller, Yuan Gao, Zhanqi Zhao. Optimal machine learning methods for prediction of high-flow nasal cannula outcomes using image features from electrical impedance tomography. Computer Methods and Programs in Biomedicine, 238:107613, August 2023. [doi]
@article{YangLDFMGZ23,
title = {Optimal machine learning methods for prediction of high-flow nasal cannula outcomes using image features from electrical impedance tomography},
author = {Lin Yang and Zhe Li and Meng Dai and Feng Fu and Knut Möller and Yuan Gao and Zhanqi Zhao},
year = {2023},
month = {August},
doi = {10.1016/j.cmpb.2023.107613},
url = {https://doi.org/10.1016/j.cmpb.2023.107613},
researchr = {https://researchr.org/publication/YangLDFMGZ23},
cites = {0},
citedby = {0},
journal = {Computer Methods and Programs in Biomedicine},
volume = {238},
pages = {107613},
}