… of various machine learning algorithms to predict clinical outcomes such as ICU admission
or … Based on our analysis of 18 algorithms, we found that ensemble-based methods have …

… , the machine learning algorithms using RF demonstrated a higher predictive value for ICU
mortality and length of ICU stay … The machine learning prediction indicated that LDH was a …

… In this paper we have described the application of machine learning … of ICU patients. Using
a large dataset of nearly 60,000 ICU encounters, we used machine learning algorithms to …

… For our case the correlations between the ICU admission prediction algorithms are displayed
in Table 6. The correlation coefficients range between -1 and 1, where -1 denotes a perfect …

… a Confusion Assessment Method for the ICU (CAM-ICU) record from the day of ICU admission
or if they had a positive CAM-ICU record at the time of ICU admission. The flow diagram in …

… for estimating the risk of ICU admission or mortality among patients … techniques and machine
learning (ML) algorithms were … The best performing algorithm was XGBoost. The final model …

… Existing risk adjustment algorithms and published ICU admission criteria (mainly DAVROS
and SAPS 3) provided the basis for screening the variables. Additionally, the Delphi method …

… Finally, the algorithms were implemented using WEKA 3.8 software. The evaluation of … To
compare the performance of different algorithms in predicting ICU admission, we applied a 10-…

… admitted to the Surgical Intensive Care Unit (SICU) of our institution, we investigated whether
machine learning algorithms … predictions using three different algorithmic methods. The …

… utilized a machine learning DT algorithm to … ICU outcome in adult COVID-19 patients
admitted to the ICU. We highlight the value of utilizing a machine learning DT algorithm in the ICU …