[HTML][HTML] Interpretable machine learning models for predicting 90-day death in patients in the intensive care unit with epilepsy
Y She, L Zhou, Y Li - Seizure: European Journal of Epilepsy, 2024 - Elsevier
Purpose This study aims to develop a machine learning-based model for predicting mortality
risk in patients with epilepsy admitted to the intensive care unit (ICU), providing clinicians …
risk in patients with epilepsy admitted to the intensive care unit (ICU), providing clinicians …
Interpretable machine learning models for predicting 90-day death in patients in the intensive care unit with epilepsy.
Y She, L Zhou, Y Li - Seizure, 2023 - europepmc.org
Purpose This study aims to develop a machine learning-based model for predicting mortality
risk in patients with epilepsy admitted to the intensive care unit (ICU), providing clinicians …
risk in patients with epilepsy admitted to the intensive care unit (ICU), providing clinicians …
[HTML][HTML] Interpretable machine learning models for predicting 90-day death in patients in the intensive care unit with epilepsy
Y She, L Zhou, Y Li - Seizure-European Journal of Epilepsy, 2024 - seizure-journal.com
Purpose This study aims to develop a machine learning-based model for predicting mortality
risk in patients with epilepsy admitted to the intensive care unit (ICU), providing clinicians …
risk in patients with epilepsy admitted to the intensive care unit (ICU), providing clinicians …
Interpretable machine learning models for predicting 90-day death in patients in the intensive care unit with epilepsy
Y She, L Zhou, Y Li - Seizure - pubmed.ncbi.nlm.nih.gov
Purpose This study aims to develop a machine learning-based model for predicting mortality
risk in patients with epilepsy admitted to the intensive care unit (ICU), providing clinicians …
risk in patients with epilepsy admitted to the intensive care unit (ICU), providing clinicians …