Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis
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Beschreibung
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.
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.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..
Presents innovative solutions utilizing informatics to deal with various issues related to the COVID-19 outbreaks, including health data analytics, information exchange, knowledge sharing, Internet of Things (IoT)-based solutions, and the implementation, assessment, adoption, and management of healthcare informatics solutions Reveals recent findings and results concerning a wide variety of COVID-19 and other pandemics and epidemics using Computational Modelling and Data Analysis Beneficial for new researchers and practitioners working in the field to quickly know the best performing methods. Enables the comparison of different approaches in forwarding research in this important area directly impacting human life and health
Autor*in
Subhendu Kumar Pani
Themen in »Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis«
COVID-19 computational modelling computational Intelligence pandemics Smart sensing Big data analytics Internet of Health Things Cognition computing Predictive Modeling
Stimmen zu »Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis«
“The book, nonetheless, is written clearly and easy to follow. Rather than deep into the methodology, it leans toward analytical applications with several real data analyses and case studies … which should facilitate engaging a broader audience and sparking interest. … this book provides a good introduction and overview of the computational approaches in COVID- 19-related research … which may be of particular value to those interested in applying ML/AI solutions to public health and medicine.” (Yen-Chen Anne Feng, Biometrics, Vol. 78 (4), December, 2022)
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