APPLYING HUNGER GAME SEARCH (HGS) FOR SELECTING SIGNIFICANT BLOOD INDICATORS FOR EARLY PREDICTION OF ICU COVID-19 SEVERITY

This paper introduces an early prognostic model for attempting to predict the severity of patients for ICU admission and detect the most significant features that affect the prediction process using clinical blood data. The proposed model predicts ICU admission for high-severity patients during the first two hours of hospital admission, which would help assist clinicians in decision-making and enable the efficient use of hospital resources. The Hunger Game search (HGS) meta-heuristic algorithm and a support vector machine (SVM) have been integrated to build the proposed prediction model. Furthermore, these have been used for selecting the most informative features from blood test data. Experiments have shown that using HGS for selecting features with the SVM classifier achieved excellent results as compared with four other meta-heuristic algorithms. The model that used the features that were selected by the HGS algorithm accomplished the topmost results (98.6 and 96.5%) for the best and mean accuracy, respectively, as compared to using all of the features that were selected by other popular optimization algorithms © 2023 Author(s). This is an open access publication, which can be used, distributed and reproduced in any medium according to the Creative Commons CC-BY 4.0 License

Safe microwave inactivation of airborne viruses using compact smart antenna

The coronavirus disease 2019 (COVID-19) that broke out on December 2019 spread speedily throughout the world, resulting in serious economic problems and increasing the mortality rate. Preceding research illustrated that one of the main routes for the spread of COVID-19 is respiratory aerosol transmission, where the generation of the droplets is created by coughing, sneezing, breathing, and speaking. Therefore, innovative control methods are necessity needed to manage the epidemic. Microwave has been extensively applied to inactivate microorganisms like viruses in many different media. The previous techniques were applied in the laboratory just to virus samples. In this proposal, we use the microwave radiation to inactivate the airborne viruses in the ambient air inside the rooms of hospitals and clinics. The main contribution of this paper is to design a compact antenna array using smart antenna techniques to cover the room with uniform microwave power. It is taken into account that the radiated power is under the standard safety levels. © 2021 IEEE.