| Title | : | Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis |
|---|---|---|
| Author | : | Subhendu Kumar Pani, Sujata Dash, Wellington P. dos Santos, Syed Ahmad Chan Bukhari & Francesco Flammini |
| Release | : | 2021-12-13 |
| Kind | : | ebook |
| Genre | : | Computers & Internet, Books, Science & Nature, Mathematics, Professional & Technical, Medical, Engineering, Electrical Engineering, Life Sciences, Computers, Network, Databases |
| Size | : | 57457123 |
| 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. |
