| 期刊全稱(chēng) | Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis | | 影響因子2023 | Subhendu Kumar Pani,Sujata Dash,Francesco Flammini | | 視頻video | http://file.papertrans.cn/164/163227/163227.mp4 | | 發(fā)行地址 | 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 | | 圖書(shū)封面 |  | | 影響因子 | .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: com | | Pindex | Book 2022 |
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