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Enabling Healthcare 4.0 for Pandemics最新文献

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Machine Learning: A Tool to Combat COVID‐19 机器学习:对抗COVID - 19的工具
Enabling Healthcare 4.0 for Pandemics Pub Date : 2021-09-21 DOI: 10.1002/9781119769088.ch15
Shakti Arora, V. Athavale, Tanvi Singh
{"title":"Machine Learning: A Tool to Combat COVID‐19","authors":"Shakti Arora, V. Athavale, Tanvi Singh","doi":"10.1002/9781119769088.ch15","DOIUrl":"https://doi.org/10.1002/9781119769088.ch15","url":null,"abstract":"COVID-19 has become a global challenge and is threatening mankind. The global economy is in crisis due to a long tranche of partial to complete lockdown. Forecasting the number of COVID-19 cases is a challenge as cases are both symptomatic as well as asymptomatic, recurrence after recovery is another challenge. Careful data analysis is required to predict and estimate the number of affected cases as well as death ratio. During this pandemic situation, forecasting uncertainty is of utmost importance in decision making. In this chapter, authors have developed a model to predict the COVID-19 confirmed cases. The prediction is based on the data collected in different phases of lockdown in India. In this study, a model is developed using machine learning approaches based on the analysis of data of two Indian states Delhi and Maharashtra where maximum infected cases are found. This study is an attempt to help the decision-makers in better planning and actions. In this study, Neural Network (NN) and M5P model trees are applied to forecast the number of infected cases with each progressive day. Results suggest that the performance of the neural network-based model is slightly better than the M5P model tree in forecasting COVID-19 cases. © 2021 Scrivener Publishing LLC.","PeriodicalId":207943,"journal":{"name":"Enabling Healthcare 4.0 for Pandemics","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115534686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Mathematical Insight of COVID‐19 Infection—A Modeling Approach COVID - 19感染a建模方法的数学洞察
Enabling Healthcare 4.0 for Pandemics Pub Date : 2021-09-21 DOI: 10.1002/9781119769088.ch14
K. Arora, Pooja Khurana, Deepak Kumar, Bhanu Sharma
{"title":"Mathematical Insight of COVID‐19 Infection—A Modeling Approach","authors":"K. Arora, Pooja Khurana, Deepak Kumar, Bhanu Sharma","doi":"10.1002/9781119769088.ch14","DOIUrl":"https://doi.org/10.1002/9781119769088.ch14","url":null,"abstract":"Application of mathematics has gotten progressively abundant in epidemic disease research. The complexity of disease is appropriate to quantitative methodologies as it gives difficulties and chances to new turns of events. Thusly, computational modeling demonstrating to epidemiology research by assisting with clarifying components and by giving quantitative expectations that can be approved. The ongoing extension of quantitative models tends to numerous inquiries with respect to Epidemic disease (COVID-19) inception, and treatment reactions and opposition. These models have allowed researchers to better understand the physical phenomena. Computational models can supplement exploratory and clinical investigations, yet additionally challenge flow standards, reclassify our comprehension of systems driving epidemiology and shape future research. © 2021 Scrivener Publishing LLC.","PeriodicalId":207943,"journal":{"name":"Enabling Healthcare 4.0 for Pandemics","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116081486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Rapid Forecasting of Pandemic Outbreak Using Machine Learning 使用机器学习快速预测流行病爆发
Enabling Healthcare 4.0 for Pandemics Pub Date : 2021-09-21 DOI: 10.1002/9781119769088.ch4
Sujata Chauhan, M. Singh, P. Garg
{"title":"Rapid Forecasting of Pandemic Outbreak Using Machine Learning","authors":"Sujata Chauhan, M. Singh, P. Garg","doi":"10.1002/9781119769088.ch4","DOIUrl":"https://doi.org/10.1002/9781119769088.ch4","url":null,"abstract":"Humans have faced a number of pandemics since the dawn of civilization, but today what we are facing is an invisible enemy novel COVID-19, causing the pandemic globally at an alarming rate, bringing a devastating effect on our lives and impacting our economy drastically. The infection in humans by COVID-19 was thought to be originally from bats perhaps as zoonotic agent (from animal to human) but the rapid increase in the figure of cases in Wuhan city and globally even after shutting the market off and quarantine whole city, indicated an alternative mode of transmission from human-to-human which is rarely observed in nature. The main objective of this chapter is to predict a rapid forecasting of pandemic outbreak using machine learning approaches. The chapter is based on a preliminary estimation about the disease, spread of disease across the globe, the possible ways of treatment, and prevention in its outbreak which makes use of technologies like machine learning which may prove beneficial to save the human race from pandemics like COVID19 in the future. © 2021 Scrivener Publishing LLC.","PeriodicalId":207943,"journal":{"name":"Enabling Healthcare 4.0 for Pandemics","volume":"354 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115924662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Healthcare System 4.0 Perspectives on COVID‐19 Pandemic 医疗保健系统4.0对COVID - 19大流行的看法
Enabling Healthcare 4.0 for Pandemics Pub Date : 2021-09-21 DOI: 10.1002/9781119769088.ch2
R. Rayan, I. Zafar, I. Romash
{"title":"Healthcare System 4.0 Perspectives on COVID‐19 Pandemic","authors":"R. Rayan, I. Zafar, I. Romash","doi":"10.1002/9781119769088.ch2","DOIUrl":"https://doi.org/10.1002/9781119769088.ch2","url":null,"abstract":"COVID-19 has generated needs for health tools, medications, and applications in information technology. Industry 4.0 is about techniques like artificial intelligence (AI) or robots as tools that are designed to carry improvement in responding to the changing world. According to scientific data, industry 4.0 offers novel insights and solutions to national and international health agencies. Healthcare system 4.0 (HCS 4.0), a part of the fourth industrial transformation, could meet demands in the disaster of COVID-19. There are valuable HCS 4.0 techniques that could assist in controlling and managing the pandemic via detecting and diagnosing COVID- 19 and other associated issues. For instance, HCS 4.0 could meet the demands for face masks, gloves, and gather information for health sectors to adequately address the infected cases with COVID-19. It is also important to deliver daily updates about infected cases, including demographics via surveillance systems. Applying such techniques adequately could improve public health communication and education. Ultimately, the techniques for HCS 4.0 could offer many novel interventions for addressing local and universal catastrophes in health. This chapter explores the leading HCS 4.0 techniques that could address this pandemic, highlighting real-world applications, opportunities, challenges, and future insights. © 2021 Scrivener Publishing LLC.","PeriodicalId":207943,"journal":{"name":"Enabling Healthcare 4.0 for Pandemics","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130495811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Multi‐Purpose Robotic Sensing Device for Healthcare Services 用于医疗保健服务的多用途机器人传感装置
Enabling Healthcare 4.0 for Pandemics Pub Date : 2021-09-21 DOI: 10.1002/9781119769088.ch12
Das HirakRanjan, Bhatia Dinesh, A. Patowary, Animesh Mishra
{"title":"Multi‐Purpose Robotic Sensing Device for Healthcare Services","authors":"Das HirakRanjan, Bhatia Dinesh, A. Patowary, Animesh Mishra","doi":"10.1002/9781119769088.ch12","DOIUrl":"https://doi.org/10.1002/9781119769088.ch12","url":null,"abstract":"The whole world at present is under the grasp of a pandemic termed as COVID-19. The World Health Organization (WHO) guidelines suggest that the social distancing norms are followed with contactless operations as far as possible. Therefore, the population around the world is turning towards efficient modes of operating the daily work with minimal human contact. To contain the spread of the novel coronavirus or COVID-19, it is important and suitable to deploy machinery for operating in conditions wherever social distancing is required. The multipurpose robot makes it feasible to minimize human contact and carry out operations without the risk of the spread of the virus. This chapter aims at the fabrication of a robot that can have multiple utilities and is employed in different areas as per the requirement of the user. © 2021 Scrivener Publishing LLC.","PeriodicalId":207943,"journal":{"name":"Enabling Healthcare 4.0 for Pandemics","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123550934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Emerging Techniques for Handling Pandemic Challenges 应对流行病挑战的新兴技术
Enabling Healthcare 4.0 for Pandemics Pub Date : 2021-09-21 DOI: 10.1002/9781119769088.ch10
Ankur Gupta, P. Garg
{"title":"Emerging Techniques for Handling Pandemic Challenges","authors":"Ankur Gupta, P. Garg","doi":"10.1002/9781119769088.ch10","DOIUrl":"https://doi.org/10.1002/9781119769088.ch10","url":null,"abstract":"The world right now is dealing with a nightmare in the form of Corona virus disease. COVID-19 has been declared a pandemic by the WHO. It’s an infectious disease caused by virus called SARS-CoV-2. The symptoms of the disease range from fever, dry cough, headaches to difficulty in breathing. Technology has been making it out lives easier and how. The healthcare system also incorporates technology everywhere. We can use latest technologies to deal with crisis situations such as pandemic. Remote healthcare monitoring is the process of monitoring patients in a non-clinical environment. The patients can be provided with sensors and wearable’s to monitor them from afar. The devices range from wearable health monitors to fit bits. Artificial Intelligence is the future, everyone says. With help of technology, devices can check that people are maintaining social distancing and have their masks on. The data collected can be used to make people aware during a pandemic situation. It can be psychologically disturbing and stir up all sorts of feelings, like unreasonable fear and stress. Online counseling also proves helpful to those who shy way in going to hospitals to discuss issues such as depression. It also breaks the barrier of stigma among the patients. © 2021 Scrivener Publishing LLC.","PeriodicalId":207943,"journal":{"name":"Enabling Healthcare 4.0 for Pandemics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131100726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Emerging Technologies for Handling Pandemic Challenges 应对流行病挑战的新兴技术
Enabling Healthcare 4.0 for Pandemics Pub Date : 2021-09-21 DOI: 10.1002/9781119769088.ch6
D. Karthika, K. Kalaiselvi
{"title":"Emerging Technologies for Handling Pandemic Challenges","authors":"D. Karthika, K. Kalaiselvi","doi":"10.1002/9781119769088.ch6","DOIUrl":"https://doi.org/10.1002/9781119769088.ch6","url":null,"abstract":"Most pandemic burdens, for instance, genuine extreme respiratory conditions, pandemic flu start in animals, are invited on utilizing contaminations and are pushed to ascend by strategies for ecological, direct, or budgetary changes. In this, how mechanical and self-proceeding with structures and quick wearable enhancement and help social protection transport and the restorative administrations gathering of workers for the term of the COVID-19 pandemic are presented. For instance, mechanized and telerobotic structures altogether limit the danger of powerful issue transmission to forefront human administrations people through creation it possible to triage, survey, screen, and treat casualties from a protected division great deal occurrences of the recognize the clinical, planning, and science systems get together to resource the restorative administration’s structure, therapeutic administrations workers, and society all through the propelled disaster are presented. This section centers around computational strategies and real factors, artificial Intelligence (AI) and Big Data can help in dealing with the gigantic, unprecedented proportion of records got from open health surveillance, consistent plague flare-ups watching, vogue right now tossing/deciding, common condition briefing and invigorating from authoritative establishments and animals, and prosperity office utilization of information. © 2021 Scrivener Publishing LLC.","PeriodicalId":207943,"journal":{"name":"Enabling Healthcare 4.0 for Pandemics","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133843925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Unfolding the Potential of Impactful Emerging Technologies Amid COVID‐19 在2019冠状病毒病期间发挥有影响力的新兴技术的潜力
Enabling Healthcare 4.0 for Pandemics Pub Date : 2021-09-21 DOI: 10.1002/9781119769088.ch7
N. Rouf, Aatif Kaisar Khan, M. B. Malik, Akib Mohi Ud Din Khanday, Nadia Gul
{"title":"Unfolding the Potential of Impactful Emerging Technologies Amid COVID‐19","authors":"N. Rouf, Aatif Kaisar Khan, M. B. Malik, Akib Mohi Ud Din Khanday, Nadia Gul","doi":"10.1002/9781119769088.ch7","DOIUrl":"https://doi.org/10.1002/9781119769088.ch7","url":null,"abstract":"","PeriodicalId":207943,"journal":{"name":"Enabling Healthcare 4.0 for Pandemics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125800532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Advances in Technology: Preparedness for Handling Pandemic Challenges 技术进步:应对大流行挑战的准备
Enabling Healthcare 4.0 for Pandemics Pub Date : 2021-09-21 DOI: 10.1002/9781119769088.ch8
Shweta Sinha, V. Thada
{"title":"Advances in Technology: Preparedness for Handling Pandemic Challenges","authors":"Shweta Sinha, V. Thada","doi":"10.1002/9781119769088.ch8","DOIUrl":"https://doi.org/10.1002/9781119769088.ch8","url":null,"abstract":"High transmissibility and lack of effective vaccine have made the control of disease spread a challenge, and eventually, they take the form of a pandemic. The uncontrollable spread of virus creates challenges not only for the social or health front but also on the global economy. This chapter discusses the social, health and economic difficulties due to pandemic. The claims are validated with reference to the present-day epidemic the COVID-19. Technology promises to make life easier. The role of technology in government coordinated efforts to the response and preparedness is discussed in the chapter. Forecasting the spread pattern helps in readiness to handle the severity. Undoubtedly the technological advancements have led several changes to the society leading to a comfortable lifestyle even during the challenging times. The discussion here outlines the role of these advancements during the time of the pandemic. As digital technology intervenes to control the disastrous effect on humankind, it simultaneously introduces several challenges that are highlighted in the chapter. © 2021 Scrivener Publishing LLC.","PeriodicalId":207943,"journal":{"name":"Enabling Healthcare 4.0 for Pandemics","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128062075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
COVID‐19 and Machine Learning Approaches to Deal With the Pandemic COVID - 19和机器学习方法应对大流行
Enabling Healthcare 4.0 for Pandemics Pub Date : 2021-09-21 DOI: 10.1002/9781119769088.ch1
Sapna Juneja, Abhinav Juneja, V. Bali, Vishal Jain
{"title":"COVID‐19 and Machine Learning Approaches to Deal With the Pandemic","authors":"Sapna Juneja, Abhinav Juneja, V. Bali, Vishal Jain","doi":"10.1002/9781119769088.ch1","DOIUrl":"https://doi.org/10.1002/9781119769088.ch1","url":null,"abstract":"The whole world is struggling to live with COVID-19 and even a single step of technology revolution can help in dealing with this pandemic. Artificial Intelligence and Machine Learning approaches are being used by the researchers around the globe to completely understand and address this situation. In this Corona crisis, companies are trying to implement this AI and ML techniques in various fields ranging from manufacturing, resource management, remote monitoring etc. On the other hand, ML approach is being used by the researchers for supporting healthcare related issues arisen due to COVID-19. © 2021 Scrivener Publishing LLC.","PeriodicalId":207943,"journal":{"name":"Enabling Healthcare 4.0 for Pandemics","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131752675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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