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Leveraging Data Science for Global Health

-15% su kodu: ENG15
70,11 
Įprasta kaina: 82,48 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
70,11 
Įprasta kaina: 82,48 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
2025-02-28 82.4800 InStock
Nemokamas pristatymas į paštomatus per 11-15 darbo dienų užsakymams nuo 10,00 

Knygos aprašymas

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.

Informacija

Leidėjas: Springer Nature Switzerland
Išleidimo metai: 2020
Knygos puslapių skaičius: 488
ISBN-10: 3030479935
ISBN-13: 9783030479930
Formatas: 241 x 160 x 32 mm. Knyga kietu viršeliu
Kalba: Anglų

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