Computational Intelligence for Managing Pandemics
Seiten
2021
De Gruyter (Verlag)
978-3-11-070020-6 (ISBN)
De Gruyter (Verlag)
978-3-11-070020-6 (ISBN)
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.
THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS
By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.
THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS
By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.
A. Khamparia, LPU, India; B. Bhushan, HMRITM, India; M.R.H. Mondal, P. Podder, BUET, Bangladesh; V.H. de Albuquerque, UNIFOR, Brazil.
| Erscheinungsdatum | 26.08.2021 |
|---|---|
| Reihe/Serie | Intelligent Biomedical Data Analysis ; 5 |
| Zusatzinfo | 29 b/w and 47 col. ill., 20 b/w tbl. |
| Verlagsort | Berlin/Boston |
| Sprache | englisch |
| Maße | 240 x 170 mm |
| Gewicht | 721 g |
| Themenwelt | Mathematik / Informatik ► Informatik |
| Schlagworte | Algorithmen • Algorithmus • Big Data • Digital Health • Öffentliche Gesundheit |
| ISBN-10 | 3-11-070020-4 / 3110700204 |
| ISBN-13 | 978-3-11-070020-6 / 9783110700206 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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