Jena Kalyan Kumar, Bhoi Sourav Kumar, Prasad Mukesh, Puthal Deepak
Department of Computer Science and Engineering, Parala Maharaja Engineering College, Berhampur, India.
School of Computer Science, University of Technology Sydney, Sydney, Australia.
Neural Comput Appl. 2022;34(14):11361-11382. doi: 10.1007/s00521-021-05719-y. Epub 2021 Jan 27.
Coronavirus disease-19 (COVID-19) is a very dangerous infectious disease for the entire world in the current scenario. Coronavirus spreads from one person to another person very rapidly. It spreads exponentially throughout the globe. Everyone should be cautious to avoid the spreading of this novel disease. In this paper, a fuzzy rule-based approach using priority-based method is proposed for the management of hospital beds for COVID-19 infected patients in the worst-case scenario where the number of hospital beds is very less as compared to the number of COVID-19 infected patients. This approach mainly attempts to minimize the number of hospital beds as well as emergency beds requirement for the treatment of COVID-19 infected patients to handle such a critical situation. In this work, higher priority has given to severe COVID-19 infected patients as compared to mild COVID-19 infected patients to handle this critical situation so that the survival probability of the COVID-19 infected patients can be increased. The proposed method is compared with first-come first-serve (FCFS)-based method to analyze the practical problems that arise during the assignment of hospital beds and emergency beds for the treatment of COVID-19 patients. The simulation of this work is carried out using MATLAB R2015b.
在当前形势下，冠状病毒病19（COVID - 19）对整个世界来说是一种非常危险的传染病。冠状病毒在人与人之间传播速度极快，在全球呈指数级传播。每个人都应谨慎行事，以避免这种新型疾病的传播。本文提出了一种基于优先级方法的模糊规则方法，用于在最坏情况下管理COVID - 19感染患者的医院床位，即医院床位数与COVID - 19感染患者数量相比非常少的情况。这种方法主要试图减少用于治疗COVID - 19感染患者的医院床位以及急诊床位的需求，以应对这种危急情况。在这项工作中，与轻度COVID - 19感染患者相比，重度COVID - 19感染患者被赋予更高的优先级来应对这种危急情况，从而提高COVID - 19感染患者的生存概率。将所提出的方法与基于先到先服务（FCFS）的方法进行比较，以分析在为COVID - 19患者分配医院床位和急诊床位过程中出现的实际问题。这项工作的模拟使用MATLAB R2015b进行。
