Leveraging Data Science for Global Health Hardback
Edited by Leo Anthony Celi, Maimuna S. Majumder, Patricia Ordonez, Juan Sebastian Osorio, Kenneth E. Paik, Melek Somai
Hardback
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Description
This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings.
It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources.
Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healthcare infrastructure – and without comprehensive surveillance, delays in outbreak identification, resource deployment, and case management can be catastrophic.
In combination with context-informed analytics, students will learn how non-traditional digital disease data sources – including news media, social media, Google Trends, and Google Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient.
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Out of StockMore expected soonContact us for further information
- Format:Hardback
- Pages:475 pages, 175 Illustrations, color; 21 Illustrations, black and white; XII, 475 p. 196 illus., 175
- Publisher:Springer Nature Switzerland AG
- Publication Date:01/08/2020
- Category:
- ISBN:9783030479930
Information
-
Out of StockMore expected soonContact us for further information
- Format:Hardback
- Pages:475 pages, 175 Illustrations, color; 21 Illustrations, black and white; XII, 475 p. 196 illus., 175
- Publisher:Springer Nature Switzerland AG
- Publication Date:01/08/2020
- Category:
- ISBN:9783030479930