… of 18 machinelearningalgorithms for predicting ICU admission and mortality among COVID-19 … In this study, we evaluated the ability of various machinelearningalgorithms to predict …
… algorithms used in relation to COVID-19. We focus on the potential of ML for two main applications: diagnosis of COVID-19 and prediction of mortality … Aspects related to algorithm types, …
… models, a linear support vector machine (SVM) algorithm was trained and evaluated. … To better validate the performance of the predictive algorithms, independent of the algorithm …
… Finally, we showed that unsupervised learningalgorithms allow a global analysis of the set of drugs administered to the patient population. This allowed us to automatically identify …
… whether it belonged to baseline ML or advanced DL algorithms. Since in literature there are many implementable and customizable algorithms, we expected to find several and different …
ME Laino, E Generali, T Tommasini… - Archives of Medical …, 2022 - ncbi.nlm.nih.gov
… Artificial intelligence techniques allow one to analyze large amounts of data to find hidden … validate a mortality score at admission for COVID-19 based on high-level machinelearning. …
… To compare the performances of various machinelearningalgorithms, we tried six different models as listed below. The most optimum feature set was used as inputs to these models. …
G Lorenzoni, N Sella, A Boscolo, D Azzolina… - Journal of Anesthesia …, 2021 - Springer
… to share experience on COVID-19 patients’ treatment among … Finally, data on COVID-19 patients admitted to the COVID-19 … a machinelearning approach for ICU mortality in COVID-19 …
… ML algorithms are used to develop prognostic and diagnostic models and so to support … ML algorithms to predict the need for intensive care, intubation, and mortality risk for COVID-19 …