Leveraging Data Science for Global Health
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- text
- computer
- online resource
- 978-3-030-47994-7
- Health & safety aspects of IT
- Health economics
- Medical equipment & techniques
- Artificial Intelligence
- Big Data
- Digital Disease Surveillance
- Health & safety aspects of IT
- Health economics
- Health Economics
- Health Informatics
- Health Mapping
- Health Records for Non-Communicable Diseases
- HealthMap
- Information technology: general issues
- Machine Learning
- Medical equipment & techniques
- Open Access
- Tools for Clinical Trials
Item type | Home library | Collection | Call number | Materials specified | Status | Date due | Barcode | |
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OPJGU Sonepat- Campus | E-Books Open Access | Available |
Open Access Unrestricted online access star
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.
Creative Commons by/4.0/ cc
http://creativecommons.org/licenses/by/4.0/
English
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