Covid 19 Integrating Artificial Intelligence Data Science Mathematics Medicine And Public Health Epidemiology Neuroscience Neurorobotics And Biomedical Science In Pandemic Management Volume Ii
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Covid 19 Integrating Artificial Intelligence Data Science Mathematics Medicine And Public Health Epidemiology Neuroscience Neurorobotics And Biomedical Science In Pandemic Management Volume Ii
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Author : Atefeh Abedini
language : en
Publisher: Frontiers Media SA
Release Date : 2024-02-29
Covid 19 Integrating Artificial Intelligence Data Science Mathematics Medicine And Public Health Epidemiology Neuroscience Neurorobotics And Biomedical Science In Pandemic Management Volume Ii written by Atefeh Abedini and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-29 with Science categories.
Covid 19 Integrating Artificial Intelligence Data Science Mathematics Medicine And Public Health Epidemiology Neuroscience And Biomedical Science In Pandemic Management
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Author : Reza Lashgari
language : en
Publisher: Frontiers Media SA
Release Date : 2023-02-09
Covid 19 Integrating Artificial Intelligence Data Science Mathematics Medicine And Public Health Epidemiology Neuroscience And Biomedical Science In Pandemic Management written by Reza Lashgari and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-09 with Medical categories.
Data Science For Covid 19
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Author : Utku Kose
language : en
Publisher: Academic Press
Release Date : 2021-10-22
Data Science For Covid 19 written by Utku Kose and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-22 with Science categories.
Data Science for COVID-19, Volume 2: Societal and Medical Perspectives presents the most current and leading-edge research into the applications of a variety of data science techniques for the detection, mitigation, treatment and elimination of the COVID-19 virus. At this point, Cognitive Data Science is the most powerful tool for researchers to fight COVID-19. Thanks to instant data-analysis and predictive techniques, including Artificial Intelligence, Machine Learning, Deep Learning, Data Mining, and computational modeling for processing large amounts of data, recognizing patterns, modeling new techniques, and improving both research and treatment outcomes is now possible. - Provides a leading-edge survey of Data Science techniques and methods for research, mitigation and the treatment of the COVID-19 virus - Integrates various Data Science techniques to provide a resource for COVID-19 researchers and clinicians around the world, including the wide variety of impacts the virus is having on societies and medical practice - Presents insights into innovative, data-oriented modeling and predictive techniques from COVID-19 researchers around the world, including geoprocessing and tracking, lab data analysis, and theoretical views on a variety of technical applications - Includes real-world feedback and user experiences from physicians and medical staff from around the world for medical treatment perspectives, public safety policies and impacts, sociological and psychological perspectives, the effects of COVID-19 in agriculture, economies, and education, and insights on future pandemics
Data Science Advancements In Pandemic And Outbreak Management
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Author : Asimakopoulou, Eleana
language : en
Publisher: IGI Global
Release Date : 2021-04-09
Data Science Advancements In Pandemic And Outbreak Management written by Asimakopoulou, Eleana and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-09 with Computers categories.
Pandemics are disruptive. Thus, there is a need to prepare and plan actions in advance for identifying, assessing, and responding to such events to manage uncertainty and support sustainable livelihood and wellbeing. A detailed assessment of a continuously evolving situation needs to take place, and several aspects must be brought together and examined before the declaration of a pandemic even happens. Various health organizations; crisis management bodies; and authorities at local, national, and international levels are involved in the management of pandemics. There is no better time to revisit current approaches to cope with these new and unforeseen threats. As countries must strike a fine balance between protecting health, minimizing economic and social disruption, and respecting human rights, there has been an emerging interest in lessons learned and specifically in revisiting past and current pandemic approaches. Such approaches involve strategies and practices from several disciplines and fields including healthcare, management, IT, mathematical modeling, and data science. Using data science to advance in-situ practices and prompt future directions could help alleviate or even prevent human, financial, and environmental compromise, and loss and social interruption via state-of-the-art technologies and frameworks. Data Science Advancements in Pandemic and Outbreak Management demonstrates how strategies and state-of-the-art IT have and/or could be applied to serve as the vehicle to advance pandemic and outbreak management. The chapters will introduce both technical and non-technical details of management strategies and advanced IT, data science, and mathematical modelling and demonstrate their applications and their potential utilization within the identification and management of pandemics and outbreaks. It also prompts revisiting and critically reviewing past and current approaches, identifying good and bad practices, and further developing the area for future adaptation. This book is ideal for data scientists, data analysts, infectious disease experts, researchers studying pandemics and outbreaks, IT, crisis and disaster management, academics, practitioners, government officials, and students interested in applicable theories and practices in data science to mitigate, prepare for, respond to, and recover from future pandemics and outbreaks.
Researches And Applications Of Artificial Intelligence To Mitigate Pandemics
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Author : Kauser Hameed
language : en
Publisher: Academic Press
Release Date : 2021-04-27
Researches And Applications Of Artificial Intelligence To Mitigate Pandemics written by Kauser Hameed and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-27 with Technology & Engineering categories.
Researches and Applications of Artificial Intelligence to Mitigate Pandemics: History, Diagnostic Tools, Epidemiology, Healthcare, and Technology offers readers an interdisciplinary view of state-of-art research related to the COVID-19 outbreak, with a focus on tactics employed to model the number of cases of COVID-19 (time series modeling), models employed to diagnostics COVID-19 based on images, and the panoramic of COVID-19 since its discovery and up to this book's publication. This book showcases the algorithms and models available to manage pandemic data, the role of AI, IoT and Mathematical Modeling, how to prevent and fight COVID-19, and the existing medical, social and pharmaceutical support. Chapters cover methods and protocols, the basics and history of diseases, the fast diagnosis of disease with different automated algorithms and artificial intelligence tools and techniques, the methods of handling epidemiology for mitigating the spread of disease, artificial intelligence and mathematical modeling techniques, and how mental and physical health is affected with social media usage. - Explains novel and hybrid high quality artificial intelligence methodologies, techniques, algorithms, architectures, tools and methods to cope with pandemics - Covers rapid point-of-care diagnostics, presents details on varied mathematical models developed to control epidemiology, and lists existing measures to disseminate the spread of infection using computational methods - Highlights the negative effect of social media and other sources by applying preventive measures to combat depression and anxiety
Artificial Intelligence In Covid 19
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Author : Niklas Lidströmer
language : en
Publisher: Springer Nature
Release Date : 2022-11-09
Artificial Intelligence In Covid 19 written by Niklas Lidströmer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-09 with Medical categories.
This book deals with the advantages of using artificial intelligence (AI) in the fight against the COVID-19 and against future pandemics that could threat humanity and our environment. This book is a practical, scientific and clinically relevant example of how medicine and mathematics will fuse in the 2020s, out of external pandemic pressure and out of scientific evolutionary necessity. This book contains a unique blend of the world's leading researchers, both in medicine, mathematics, computer science, clinical and preclinical medicine, and presents the research front of the usage of AI against pandemics. Equipped with this book the reader will learn about the latest AI advances against COVID-19, and how mathematics and algorithms can aid in preventing its spreading course, treatments, diagnostics, vaccines, clinical management and future evolution.
Computational Intelligence For Managing Pandemics
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Author : Aditya Khamparia
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2021-09-07
Computational Intelligence For Managing Pandemics written by Aditya Khamparia and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-07 with Computers categories.
This book uncovers the stakes and possibilities of handling pandemic diseases with the help of Computational Intelligence, using cases and applications from the current Covid-19 pandemic. The book chapters will focus on the application of CI and its related fields in managing different aspects of Covid-19, including modelling of the disease spread, data-driven prediction, identification of disease hotspots, and medical decision support.
Applications Of Artificial Intelligence In Covid 19
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Author : Sachi Nandan Mohanty
language : en
Publisher: Springer Nature
Release Date : 2021-09-29
Applications Of Artificial Intelligence In Covid 19 written by Sachi Nandan Mohanty and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-29 with Medical categories.
The book examines the role of artificial intelligence during the COVID-19 pandemic, including its application in i) early warnings and alerts, ii) tracking and prediction, iii) data dashboards, iv) diagnosis and prognosis, v) treatments, and cures, and vi) social control. It explores the use of artificial intelligence in the context of population screening and assessing infection risks, and presents mathematical models for epidemic prediction of COVID-19. Furthermore, the book discusses artificial intelligence-mediated diagnosis, and how machine learning can help in the development of drugs to treat the disease. Lastly, it analyzes various artificial intelligence-based models to improve the critical care of COVID-19 patients.
Assessing Covid 19 And Other Pandemics And Epidemics Using Computational Modelling And Data Analysis
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Author : Subhendu Kumar Pani
language : en
Publisher: Springer Nature
Release Date : 2021-12-13
Assessing Covid 19 And Other Pandemics And Epidemics Using Computational Modelling And Data Analysis written by Subhendu Kumar Pani and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-13 with Computers categories.
This book comprehensively covers the topic of COVID-19 and other pandemics and epidemics data analytics using computational modelling. Biomedical and Health Informatics is an emerging field of research at the intersection of information science, computer science, and health care. The new era of pandemics and epidemics bring tremendous opportunities and challenges due to the plentiful and easily available medical data allowing for further analysis. The aim of pandemics and epidemics research is to ensure high-quality, efficient healthcare, better treatment and quality of life by efficiently analyzing the abundant medical, and healthcare data including patient’s data, electronic health records (EHRs) and lifestyle. In the past, it was a common requirement to have domain experts for developing models for biomedical or healthcare. However, recent advances in representation learning algorithms allow us to automatically learn the pattern and representation of the given data for the development of such models. Medical Image Mining, a novel research area (due to its large amount of medical images) are increasingly generated and stored digitally. These images are mainly in the form of: computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI) and ultrasound. Patients’ biomedical images can be digitized using data mining techniques and may help in answering several important and critical questions related to health care. Image mining in medicine can help to uncover new relationships between data and reveal new and useful information that can be helpful for scientists and biomedical practitioners. Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis will play a vital role in improving human life in response to pandemics and epidemics. The state-of-the-art approaches for data mining-based medical and health related applications will be of great value to researchers and practitioners working in biomedical, health informatics, and artificial intelligence..
Emerging Technologies For Combatting Pandemics
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Author : M. Rubaiyat Hossain Mondal
language : en
Publisher: CRC Press
Release Date : 2022-11-25
Emerging Technologies For Combatting Pandemics written by M. Rubaiyat Hossain Mondal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-25 with Medical categories.
The COVID-19 pandemic has significantly affected the healthcare sector across the globe. Artificial Intelligence (AI) and the Internet of Medical Things (IoMT) play important roles when dealing with emerging challenges. These technologies are being applied to problems involving the early detection of infections, fast contact tracing, decision-making models, risk profiling of cohorts, and remote treatment. Applying these technologies runs against challenges including interoperability, lack of unified structure for eHealth, and data privacy and security. Emerging Technologies for Combatting Pandemics: AI, IoMT, and Analytics examines multiple models and solutions for various settings including individual, home, work, and society. The world’s healthcare systems are battling the novel coronavirus, and government authorities, scientists, medical practitioners, and medical services are striving hard to surmount these challenges. This book focuses on the design and implementation of AI-based approaches in the proposed COVID-19 solutions that are enabled and supported by IoMT, sensor networks, cloud and edge computing, robotics, and analytics. It covers technologies under the umbrella of AI that include data science, big data, machine learning (ML), semantic technologies, analytics, and cyber security. Highlights of the book include: Epidemic forecasting models Surveillance and tracking systems IoMT and Internet of Healthcare Things-based integrated systems for COVID-19 Social network analysis systems Radiological image- based diagnosis systems Computational intelligence methods This reference work is beneficial for interdisciplinary students, researchers, and healthcare and technology professionals who need to know how computational intelligence could be used for surveillance, control, prevention, prediction, diagnosis, and potential treatment of the disease.