We propose an interpretable deep learning model that forecasts BIS values 25 s in advance using 30 s electroencephalogram (EEG) data.
We propose an interpretable deep learning model that forecasts BIS values 25 s in advance using 30 s electroencephalogram (EEG) data.
Sep 1, 2023 · We propose an interpretable deep learning model that forecasts BIS values 25 s in advance using 30 s electroencephalogram (EEG) data. Material ...
Objective: We propose an interpretable deep learning model that forecasts BIS values 25 s in advance using 30 s electroencephalogram (EEG) data. Material and ...
People also ask
What is the bispectral index algorithm?
What is the interpretation of the BIS monitor?
What is the BIS score for sedation?
Development of a Bispectral index score prediction model based on an interpretable deep learning algorithm. Eugene Hwang, Hee Sun Park, Hyun Seok Kim, ...
공동 저자 ; Development of a Bispectral index score prediction model based on an interpretable deep learning algorithm. E Hwang, HS Park, HS Kim, JY Kim, H Jeong ...
Objective: We propose an interpretable deep learning model that forecasts BIS values 25 s in advance using 30 s electroencephalogram (EEG) data. Material and ...
Development of a Bispectral index score prediction model based on an interpretable deep learning algorithm · Eugene HwangHee-Sun Park +4 authors. Sung-Hoon Kim.
Development of a Bispectral index score prediction model based on an interpretable deep learning algorithm. E Hwang, HS Park, HS Kim, JY Kim, H Jeong, J Kim, SH ...
Development and validation of an interpretable neural network for ...
www.nature.com › ... › articles
Jan 8, 2021 · In this manuscript, we present the development and validation of a model applying the concept of GAM-NNs to allow for interpretability.