Optimal machine learning methods for prediction of high-flow nasal cannula outcomes using image features from electrical impedance tomography - researchr publication

researchr

You are not signed in
Sign in
Sign up

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]

Abstract is missing.

runs on WebDSL