2021
DOI: 10.1109/access.2021.3116067
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Applying Different Machine Learning Techniques for Prediction of COVID-19 Severity

Abstract: Due to the increase in the number of patients who died as a result of the SARS-CoV-2 virus around the world, researchers are working tirelessly to find technological solutions to help doctors in their daily work. Fast and accurate Artificial Intelligence (AI) techniques are needed to assist doctors in their decisions to predict the severity and mortality risk of a patient. Early prediction of patient severity would help in saving hospital resources and decrease the continual death of patients by providing earl… Show more

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Cited by 34 publications
(12 citation statements)
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“…The future predictions can be made using AI and ML in IoT-based systems for predicting the upcoming infection of coronavirus [ 19 ]. The IoT can be used as a data source, and ML is used for data analytics to better further analyze the COVID-19 [ 20 ] to get better insights. With the help of IoT, a centralized information system can be created where all activities are stored electronically and can be accessed anywhere and anytime [ 21 ].…”
Section: Introductionmentioning
confidence: 99%
“…The future predictions can be made using AI and ML in IoT-based systems for predicting the upcoming infection of coronavirus [ 19 ]. The IoT can be used as a data source, and ML is used for data analytics to better further analyze the COVID-19 [ 20 ] to get better insights. With the help of IoT, a centralized information system can be created where all activities are stored electronically and can be accessed anywhere and anytime [ 21 ].…”
Section: Introductionmentioning
confidence: 99%
“…Autoregressive Integrated Moving Average (ARIMA)and LSTM models demonstrated the highest MAPE errors. Another approach is characterized by the work of S. A.-F. Sayed et al 17 , who built a model predicting various levels of severity risk for COVID-19 using the analysis of chest X-ray images. Deeply trained CheXNet model and hybrid feature extraction techniques were applied in experiments.…”
Section: Related Workmentioning
confidence: 99%
“…Sayed et al 31 use a combination of convolutional neural network (CNN) extracted features and spatial and frequency based handcrafted features from X-ray images to predict COVID-19 severity with six different classifiers. Zandehshahvar et al predict COVID-19 severity in 4 classes normal, mild, moderate, and severe for X-ray images.…”
Section: Related Workmentioning
confidence: 99%