Optimal machine learning methods for prediction of high-flow nasal cannula outcomes using image features from electrical impedance tomography.
Lin YangZhe LiMeng DaiFeng FuKnut MöllerYuan GaoZhanqi ZhaoPublished in: Comput. Methods Programs Biomed. (2023)
Keyphrases
- image features
- optimal solution
- wide range
- optimal control
- prediction accuracy
- prediction algorithm
- transmission line
- dynamic programming
- image reconstruction
- prediction model
- flow field
- image content
- computer vision
- image representation
- image quality
- feature vectors
- closed form
- scale space
- small size
- optical flow
- power grid
- diagnostic tool