Impact of COVID-19 pandemic on information management research and practice: Transforming education, work and life

International Journal of Information Management, Journal Year: 2020, Volume and Issue: 55, P. 102211 - 102211

Published: July 31, 2020

Language: Английский

---

Applications of digital technology in COVID-19 pandemic planning and response

The Lancet Digital Health, Journal Year: 2020, Volume and Issue: 2(8), P. e435 - e440

Published: June 29, 2020

Language: Английский

---

The evolving role of artificial intelligence in marketing: A review and research agenda

Journal of Business Research, Journal Year: 2021, Volume and Issue: 128, P. 187 - 203

Published: Feb. 21, 2021

Language: Английский

---

COVID-19 open source data sets: a comprehensive survey

Applied Intelligence, Journal Year: 2020, Volume and Issue: 51(3), P. 1296 - 1325

Published: Sept. 21, 2020

In December 2019, a novel virus named COVID-19 emerged in the city of Wuhan, China. early 2020, spread all continents world except Antarctica, causing widespread infections and deaths due to its contagious characteristics no medically proven treatment. The pandemic has been termed as most consequential global crisis since World Wars. first line defense against are non-pharmaceutical measures like social distancing personal hygiene. great affecting billions lives economically socially motivated scientific community come up with solutions based on computer-aided digital technologies for diagnosis, prevention, estimation COVID-19. Some these efforts focus statistical Artificial Intelligence-based analysis available data concerning All necessitate that brought service should be open source promote extension, validation, collaboration work fight pandemic. Our survey is by can mainly categorized

Language: Английский

---

Applications of artificial intelligence in battling against covid-19: A literature review

Chaos Solitons & Fractals, Journal Year: 2020, Volume and Issue: 142, P. 110338 - 110338

Published: Oct. 3, 2020

Language: Английский

---

Machine learning approaches in COVID-19 diagnosis, mortality, and severity risk prediction: A review

Informatics in Medicine Unlocked, Journal Year: 2021, Volume and Issue: 24, P. 100564 - 100564

Published: Jan. 1, 2021

The existence of widespread COVID-19 infections has prompted worldwide efforts to control and manage the virus, hopefully curb it completely. One important line research is use machine learning (ML) understand fight COVID-19. This currently an active field. Although there are already many surveys in literature, a need keep up with rapidly growing number publications on COVID-19-related applications ML. paper presents review recent reports ML algorithms used relation We focus potential for two main applications: diagnosis prediction mortality risk severity, using readily available clinical laboratory data. Aspects related algorithm types, training data sets, feature selection discussed. As we cover work published between January 2020 2021, few key points have come light. bulk these supervised algorithms. established models yet be real-world implementations, much associated experimental. diagnostic prognostic features discovered by consistent results presented medical literature. A limitation existing imbalanced sets that prone bias.

Language: Английский

---

Integrating Digital Technologies and Public Health to Fight Covid-19 Pandemic: Key Technologies, Applications, Challenges and Outlook of Digital Healthcare

International Journal of Environmental Research and Public Health, Journal Year: 2021, Volume and Issue: 18(11), P. 6053 - 6053

Published: June 4, 2021

Integration of digital technologies and public health (or healthcare) helps us to fight the Coronavirus Disease 2019 (COVID-19) pandemic, which is biggest crisis humanity has faced since 1918 Influenza Pandemic. In order better understand healthcare, this work conducted a systematic comprehensive review with purpose helping combat COVID-19 pandemic. This paper covers background information research overview summarizes its applications challenges in finally puts forward prospects healthcare. First, main concepts, key development processes, common application scenarios integrating healthcare were offered part information. Second, bibliometric techniques used analyze output, geographic distribution, discipline collaboration network, hot topics before after We found that pandemic greatly accelerated on integration Third, cases China, EU U.S using collected analyzed. Among these technologies, big data, artificial intelligence, cloud computing, 5G are most effective weapons Applications show play an irreplaceable role controlling spread COVID-19. By comparing three regions, we contend China's success avoiding second wave integrate large scale without hesitation. Fourth, field summarized. These mainly come from four aspects: data delays, fragmentation, privacy security, security vulnerabilities. Finally, study provides future addition, also provide policy recommendations for other countries use technology

Language: Английский

---

Robotics cyber security: vulnerabilities, attacks, countermeasures, and recommendations

International Journal of Information Security, Journal Year: 2021, Volume and Issue: 21(1), P. 115 - 158

Published: March 19, 2021

Language: Английский

---

Novel Feature Selection and Voting Classifier Algorithms for COVID-19 Classification in CT Images

IEEE Access, Journal Year: 2020, Volume and Issue: 8, P. 179317 - 179335

Published: Jan. 1, 2020

Diagnosis is a critical preventive step in Coronavirus research which has similar manifestations with other types of pneumonia. CT scans and X-rays play an important role that direction. However, processing chest images using them to accurately diagnose COVID-19 computationally expensive task. Machine Learning techniques have the potential overcome this challenge. This article proposes two optimization algorithms for feature selection classification COVID-19. The proposed framework three cascaded phases. Firstly, features are extracted from Convolutional Neural Network (CNN) named AlexNet. Secondly, algorithm, Guided Whale Optimization Algorithm (Guided WOA) based on Stochastic Fractal Search (SFS), then applied followed by balancing selected features. Finally, voting classifier, WOA Particle Swarm (PSO), aggregates different classifiers' predictions choose most voted class. increases chance individual classifiers, e.g. Support Vector (SVM), Networks (NN), k-Nearest Neighbor (KNN), Decision Trees (DT), show significant discrepancies. Two datasets used test model: containing clinical findings positive negative algorithm (SFS-Guided compared widely recent literature validate its efficiency. classifier (PSO-Guided-WOA) achieved AUC (area under curve) 0.995 superior classifiers terms performance metrics. Wilcoxon rank-sum, ANOVA, T-test statistical tests statistically assess quality as well.

Language: Английский

---

A critical review of emerging technologies for tackling COVID ‐19 pandemic

Human Behavior and Emerging Technologies, Journal Year: 2020, Volume and Issue: 3(1), P. 25 - 39

Published: Dec. 1, 2020

COVID-19 pandemic affects people in various ways and continues to spread globally. Researches are ongoing develop vaccines traditional methods of Medicine Biology have been applied diagnosis treatment. Though there success stories recovered cases as November 10, 2020, no approved treatments for COVID-19. As the spread, current measures rely on prevention, surveillance, containment. In light this, emerging technologies tackling become inevitable. Emerging including geospatial technology, artificial intelligence (AI), big data, telemedicine, blockchain, 5G smart applications, Internet Medical Things (IoMT), robotics, additive manufacturing substantially important detecting, monitoring, diagnosing, screening, mapping, tracking, creating awareness. Therefore, this study aimed at providing a comprehensive review these with emphasis features, challenges, country domiciliation. Our results show that performance is not yet stable due nonavailability enough dataset, inconsistency some dataset available, nonaggregation contrasting data format, missing noise. Moreover, security privacy people's health information totally guaranteed. Thus, further research required strengthen strong need emergence robust computationally intelligent model early differential

Language: Английский

---