Abstract
In today’s digitised world, machine learning (ML) has been playing a very important role in identifying patterns from the ever-growing amount of data made available by the devices and sensors used in the day-to-day activities. Applications of ML have enriched many fields directly connected to our daily lives including education, finance, governance, healthcare, security and surveillance, etc. Its applications can also be extended in facilitating the management of pandemics, especially when the world is experiencing an unprecedented pandemic caused by the novel coronavirus disease (COVID-19). This chapter aims to provide an account of how ML can be utilised in fighting pandemics in general, with a focus on the COVID-19.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes on Data Engineering and Communications Technologies |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 77-81 |
| Number of pages | 5 |
| DOIs | |
| State | Published - 2021 |
| Externally published | Yes |
Publication series
| Name | Lecture Notes on Data Engineering and Communications Technologies |
|---|---|
| Volume | 60 |
| ISSN (Print) | 2367-4512 |
| ISSN (Electronic) | 2367-4520 |
Bibliographical note
Publisher Copyright:© 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Keywords
- Disease spread management
- Infection management
- Multi-sensor data
- Novel coronavirus
- Pandemic management
ASJC Scopus subject areas
- Information Systems
- Media Technology
- Computer Science Applications
- Computer Networks and Communications
- Electrical and Electronic Engineering
Fingerprint
Dive into the research topics of 'Machine Learning in Fighting Pandemics: A COVID-19 Case Study'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver