Notice of Retraction: AI Techniques for COVID-19

Abstract

Artificial Intelligence (AI) intent is to facilitate human limits. It is getting a standpoint on human administrations, filled by the growing availability of restorative clinical data and quick progression of insightful strategies. Motivated by the need to highlight the need for employing AI in battling the COVID-19 Crisis, this survey summarizes the current state of AI applications in clinical administrations while battling COVID-19. Furthermore, we highlight the application of Big Data while understanding this virus. We also overview various intelligence techniques and methods that can be applied to various types of medical information-based pandemic. We classify the existing AI techniques in clinical data analysis, including neural systems, classical SVM, and edge significant learning. Also, an emphasis has been made on regions that utilize AI-oriented cloud computing in combating various similar viruses to COVID-19. This survey study is an attempt to benefit medical practitioners and medical researchers in overpowering their faced difficulties while handling COVID-19 big data. The investigated techniques put forth advances in medical data analysis with an exactness of up to 90%. We further end up with a detailed discussion about how AI implementation can be a huge advantage in combating various similar viruses.

DeepCOVIDNet: An Interpretable Deep Learning Model for Predictive Surveillance of COVID-19 Using Heterogeneous Features and Their Interactions

“…Recent advances in deep learning [34] [35] have significantly improved the state of the art in computer vision, natural language processing, and many other fields. Based on such advances, researchers have identified that deep learning-based predictive models could be effective in aiding decision making in response to COVID-19 [36] [37] [38]. In the following, we discuss some related work on using deep learning to forecast the spread of the virus.…”

A systematic approach for COVID-19 predictions and parameter estimation

“…It is a class of β-coronavirus and has many potential natural, intermediate, and final hosts [7]. This virus spreads quite quickly [2] and already has outbreaks in various parts of the world [4], [5]. As of August 23, 2020, the total reported cases in India numbered 3,080,483 with 2,313,510 recoveries and 57,263 deaths [15] with a recovery rate of 72.83%.…”

IoT in the Wake of COVID-19: A Survey on Contributions, Challenges and Evolution

“…Hussain et al [16] highlighted the need to deploy AI in the fight against the COVID-19 pandemic. The study presented an overview of different intelligence techniques that can be deployed for various categories of medical informationbased pandemics.…”

“…Such hardware makes for a primary source of data that can be used to drive the purpose and goals of the IoT implementation. In fighting and managing a virus pandemic, sensor hardware can take the form of wearable devices suitable for BANs and or smartphone-based using Siriwardhana et al [15] Chamola et al [10] Hussain et al [16] Elavarasan et al [17] Nižetić et al [18] Singh et al [7] Mbunge [19] Javaid et al [20] Kumar et al [21] Vaishya et al [22] This survey inbuilt sensors such as geolocation chips, accelerometers, cameras, etc. Albezuirat et al [23] envisioned the need to use IoT devices to monitor the spread of the pandemic for immediate case reporting.…”