… ability of various machinelearningalgorithms to predict clinical outcomes such as ICU admission or mortality using data available from the initial ED encounter of COVID-19 patients. …
… 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, …
… 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 …
Early prediction of patient mortality risks during a pandemic can decrease mortality by assuring efficient resource allocation and treatment planning. This study aimed to develop and …
… machinelearning on the publicly available CoVID-19 data at the community level from South Korea to predict mortality. … We applied machinelearningalgorithms to predict mortality …
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 …