[HTML][HTML] Machine learning predicts mortality based on analysis of ventilation parameters of critically ill patients: multi-centre validation
B Mamandipoor, F Frutos-Vivar, O Peñuelas… - BMC Medical Informatics …, 2021 - Springer
Abstract Background Mechanical Ventilation (MV) is a complex and central treatment
process in the care of critically ill patients. It influences acid–base balance and can also …
process in the care of critically ill patients. It influences acid–base balance and can also …
Prediction of blood lactate values in critically ill patients: a retrospective multi-center cohort study
Elevations in initially obtained serum lactate levels are strong predictors of mortality in
critically ill patients. Identifying patients whose serum lactate levels are more likely to …
critically ill patients. Identifying patients whose serum lactate levels are more likely to …
Do we really need imputation in AutoML predictive modeling?
Numerous real-world data contain missing values, while in contrast, most Machine Learning
(ML) algorithms assume complete datasets. For this reason, several imputation algorithms …
(ML) algorithms assume complete datasets. For this reason, several imputation algorithms …
[PDF][PDF] In-depth evaluation of APACHE scoring system using eICU database
Due to the importance of intensive care units (ICUs) in hospitals, many researchers have
developed new predictive models to assess the patients' illness severity and estimate their …
developed new predictive models to assess the patients' illness severity and estimate their …
[PDF][PDF] Learning for Control and Decision Making toward Medical Autonomy
Q Gao - 2024 - dukespace.lib.duke.edu
Artificial intelligence (AI) and deep learning (DL) have recently shown success in domains
related to healthcare and its decision-making systems. However, most of the existing …
related to healthcare and its decision-making systems. However, most of the existing …